Podcasts about MCP

In this week's episode, we break down Model Context Protocol, or MCP. What is it, why should you care, and how does it change your solutions? We discuss the concept, the architecture, and share our experiences working with MCP solutions.(00:00) - Intro and catching up.(03:02) - Show content starts.Show links- MCP home: modelcontextprotocol.io- Use MCP: Connect to Remote MCP Servers- Build a server: Build an MCP Server- Build a client: Build an MCP Client- modelcontextprotocol/csharp-sdk: The official C# SDK for Model Context Protocol servers and clients.- MCP Dev Days session- Give us feedback!

The rise of AI agents is more than a tooling upgrade - it's a fundamental rewiring of the entire developer experience, with your APIs at the very center. We're joined by Matt DeBergalis, co-founder and then-CTO-now-CEO (congrats Matt!) of Apollo GraphQL, to explore this massive transformation. He introduces the emerging concept of "agent experience," explaining why systems built for human developers are not ready for the unprecedented scale of AI calling APIs.Matt argues that as the old rules of software development get re-evaluated, engineering leaders must rethink their entire stack. He presents a powerful analogy: a structured data layer like a graph is the perfect "left brain" for the "right brain" creativity of LLMs. This provides the semantic precision and guardrails needed for AI to act reliably, enabling a future where user experiences are personalized "to 11" and APIs become the core business asset. This conversation is a crucial guide for leaders on how to prepare by prioritizing higher-level system design, and why clear communication and architecture are becoming far more critical than handwriting code.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):Explore Apollo GraphQL's graph infrastructure and MCP tooling: ApolloDevConnect with Matt on LinkedInConnect with Andrew Boyagi on LinkedInReferenced in today's show:Anthropic caps Claude Code usageOpenAI introduces study modeReady or not, age verification is rolling out across the internetAtlassian research: AI adoption is rising, but friction persistsSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

What if your engineering team didn't just write code, but owned product discovery, wrote the launch messaging, and handled early sales? In this episode, Michael Grinich, CEO and founder of WorkOS, deconstructs their playbook for collapsing the product/engineering stack: no design leads, only one PM, and engineers who own product end-to-end. Michael breaks down how they teach product thinking, build with deep customer insight, and why his most important job is often to "cut scope." You'll learn how to remove the "lossy translation layers" between teams, build a culture of curiosity and customer obsession, and ship higher-quality products, faster.ABOUT MICHAEL GRINICHMichael is the founder and CEO of WorkOS, a developer platform that enables companies to become Enterprise Ready through features like Single Sign-On (SAML). Their customers include many of the fastest-growing startups including Webflow, Drata, Loom, and +200 others. Before WorkOS, Michael co-founded Nylas and studied CS at MIT. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

Alex Lee joins the show to walk us through an end-to-end automated newsletter generator built using N8N, Airtable, and generative AI. From aggregating news and generating summaries to crafting branded HTML and distributing it via email, Alex shows how businesses can reduce newsletter production from 6 hours to 30 minutes. He also shares how Model Context Protocol (MCP) is enabling real-time access to company data, explains his decision-making process between using workflow automation tools vs. vibe coding, and previews what's next in AI-powered business automation.Timestamps:00:23 – Welcome Alex Lee: Career journey from SAP to Google to AI consulting01:31 – How ChatGPT changed his mind about NLP02:38 – Why Alex is focused on AI enablement for businesses03:36 – Use case #1: AI-powered newsletter generator04:49 – The manual pain of newsletter creation06:12 – Why email is the best owned marketing channel07:25 – Step-by-step demo: Aggregating articles, adding context, and generating drafts09:09 – Human-in-the-loop editing and brand tone tuning10:01 – HTML generation and branded email output11:03 – Use cases beyond marketing: Internal custom newsletters15:26 – Why Airtable powers the backend of the workflow17:27 – Behind the scenes: N8N automation workflow overview20:26 – Tool selection: When to use N8N vs. Zapier vs. Make21:49 – Hosting your own N8N instance for cost efficiency24:04 – How clients send the generated newsletter (Mailchimp, HubSpot, EasyMail)27:12 – Vibe coding vs. workflow automation: which path to choose?28:41 – Why Lovable stands out among V0, Replit, Cursor30:19 – Benefits of prototyping and vibe coding for non-technical folks31:24 – What is MCP and why it matters33:05 – Example: Using Claude + MCP to search Google Drive and draft an executive summary38:59 – AI-powered time tracking via calendar and file analysis40:58 – What's next: legacy system integration, coding agents, MCP standardization42:39 – How to contact AlexTools and Technologies Mentioned:N8N – Open-source workflow automation platform used to orchestrate the newsletter processAirtable – Serves as the data layer and user interface for non-technical usersClaude (Anthropic) – Used for summarization, HTML generation, and MCP interactionMCP (Model Context Protocol) – Enables AI models to access external systems like Drive and calendars in real timeZapier, Make – Workflow automation tools considered depending on client preferenceLovable – No-code/low-code app builder that successfully integrates with Supabase and OpenAIHubSpot, Mailchimp, EasyMail – Email service providers used to distribute the newslettersSupabase – Backend database often used in vibe-coded appsSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Aujourd'hui, on parle de Claude, l'intelligence artificielle d'Anthropic.Pourquoi ? Parce qu'elle vient de franchir un cap. Cette IA peut désormais automatiser le fonctionnement d'outils logiciels comme Canva, Asana, Figma, Stripe ou encore Notion.Claude devient un véritable assistant numérique capable de se connecter à vos applications du quotidien.Un véritable agent autonome d'IAD'abord, pour faire cela, Claude passe d'un simple chatbot à un véritable agent autonome d'IA.Grâce à une nouvelle fonctionnalité baptisée « Connectors », Claude peut désormais accéder à vos données professionnelles, les utiliser pour générer des contenus ou mettre à jour vos outils, tout ça en un clic.Par exemple, vous pouvez demander à Claude de créer un rapport financier à partir des données de Stripe, ou encore de générer un design Canva basé sur un brief rédigé dans Apple Notes.Alors comment cela fonctionne ?Tout repose sur ce que Anthropic appelle le protocole “Model Context Protocol”, dit aussi MCP.Ce protocole permet à Claude de se connecter à vos outils tout en respectant la sécurité de vos données. Une fois que vous avez cliqué sur “Connect” pour autoriser l'accès, Claude peut interagir avec vos documents, tâches ou fichiers en contexte, sans jamais avoir à copier-coller d'un outil à l'autre.Alors voyons maintenant quels sont les usage concrets.Quels sont les usage concrets ?Prenons un exemple simple. Un chef de projet peut demander à Claude de lire un compte-rendu de réunion, de mettre à jour les tâches Asana correspondantes, et même de générer un tableau de suivi dans Notion.Et voici un autre exemple. Un designer peut créer des maquettes dans Figma ou Canva à partir d'un prompt. Résultat, plus besoin de basculer entre les outils, tout se passe dans l'interface de Claude.Cette évolution marque donc une étape importante vers ce qu'on appelle les agents IA. C'est à dire des systèmes capables non seulement de répondre à vos questions, mais aussi et surtout d'agir à votre place dans vos environnements numériques.Le ZD Tech est sur toutes les plateformes de podcast ! Abonnez-vous !Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Our feature guest this week is Josh Peltz, VP of the West for Zero Networks. News from Eldora, COOP Rideshare, Red Canary, Optiv, zvelo and a lot more! Come join us on the Colorado = Security Slack channel to meet old and new friends. Sign up for our mailing list on the main site to receive weekly updates - https://www.colorado-security.com/. If you have any questions or comments, or any organizations or events we should highlight, contact Alex and Robb at info@colorado-security.com This week's news: New Colorado area code rolls out for dozens of counties Nederland to buy Eldora Mountain Resort with support of ski industry heavy hitters Time to buy? Denver housing market hits highest inventory in 14 years Colorado Driver-Owned Ridershare App Relaunches With Improved Service, Same Benefits for Drivers More shady QR codes found on Denver parking meters Colorado among states to pass privacy laws protecting brain data collected by devices Trump Administration's AI Action Plan and New Executive Orders Offer Strategic Opportunities and Legal Risks for Private Businesses Understanding the threat landscape for MCP and AI workflows Cybersecurity Leadership in 2025: The Strategic Role of CISOs in an AI-Driven Era Addressing Legacy Phishing Detection Failure Upcoming Events: Check out the full calendar ISSA Denver - August Chapter Meeting - 8/13 Colorado = Security Picnic - 8/23 ISSA Pikes Peak - Chapter Meeting - 8/27 ISSA Denver - AI/ML SIG: Agentic AI - 8/27 ISSA Denver - Women in Cyber: From Crisis Response to Boardroom: Becoming a CISO the Unconventional Way - 9/3 View our events page for a full list of upcoming events * Thanks to CJ Adams for our intro and exit! If you need any voiceover work, you can contact him here at carrrladams@gmail.com. Check out his other voice work here. * Intro and exit song: "The Language of Blame" by The Agrarians is licensed under CC BY 2.0

Das Model Context Protocol (MCP) wird nicht ohne Grund als das USB-C für Large Language Models (LLMs) bezeichnet: Es schafft einen Standard, wie LLMs auf Kontextinformationen zugreifen und externe Werkzeuge steuern können. Das hat große Auswirkungen auf die Entwicklung von KI-Anwendungen. In diesem Stream schauen wir uns an, warum MCP gerade in aller Munde ist, wie es funktioniert, und was es für Entwickler:innen konkret bedeutet. Mit dabei eine Live-Demo mit Spring AI. Martin Lippert leitet die Entwicklung der Spring-Tools und kann auf langjährige Erfahrung als Entwickler und Speaker zurückblicken. Links MCP Model Context Protocol Verzeichnis von Servern MCP Java SDK Spring AI MCP Spring AI Beispiel Craig Walls Spring AI Beispiele Open WebUI MCP-Unterstützung MCP-Spezifikation zu Autorisierung Blog zu OAuth und MCP Gandalf: Spiel zu Prompt-Injection

Whistling is a skill used to communicate over distances—a whistle can mean anything from “you're cute” to “time to come home for dinner.” There's a complex series of mechanisms in the mouth that need to come together to make a whistle. Hosts Ira Flatow and Flora Lichtman discuss all things whistling with professional musician and whistler Wanda Civic, aka MCP, and speech language pathologist Aaron Johnson.Guests: Wanda Civic aka MCP is a musician and whistler based in New York, New York.Aaron Johnson is a speech and language pathologist at the Voice Center of New York University, in New York, New York.Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

Welcome to Episode 407 of the Microsoft Cloud IT Pro Podcast. In this episode, we dive deep into the Model Context Protocol (MCP) - a game-changing specification that's extending the capabilities of Large Language Models (LLMs) and creating exciting new possibilities for IT professionals working with Microsoft Azure and Microsoft 365. MCP represents a significant shift toward more extensible and domain-specific AI interactions. Instead of being limited to pre-trained knowledge, you can now connect your AI tools directly to live data sources, APIs, and services that matter to your specific role and organization. Whether you're managing Azure infrastructure, creating content, or developing solutions, MCP provides a framework to make your AI interactions more powerful and contextually relevant to your daily workflows. Your support makes this show possible! Please consider becoming a premium member for access to live shows and more. Check out our membership options. Show Notes Introducing the Model Context Protocol Understanding MCP server concepts Understanding MCP client concepts A list of applications that support MCP integrations About the sponsors Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

You can reach out and support me at: Patreon: https://www.patreon.com/LexaWhite Discord: ggyppt#1249 (Lexa White on most of the MCP discords) Tumblr: http://ggyppt.tumblr.com   Intro and Outro Music by Codefreq https://www.youtube.com/channel/UCc8KSSTFLmcls2pQEgCiyDw Logo designed by Rayan Meyer

Join Jason Howell and Jeff Jarvis as they discuss Meta's new chief AI scientist shakeup, Apple losing key AI talent to Meta, Ray-Ban Meta smart glasses tripling sales, and Microsoft debuting a bold AI Copilot Mode in Edge.Enjoying the AI Inside podcast? Please rate us ⭐⭐⭐⭐⭐ in your podcatcher of choice! Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00:00 - Podcast begins 0:01:51 - Meta chief AI scientist Yann LeCun clarifies his role after the company hires another chief AI scientist 0:06:52 - Apple Loses Fourth AI Researcher in a Month to Meta's Superintelligence Team 0:08:47 - Meta's AI Recruiting Campaign Finds a New Target 0:19:43 - Personal SuperintelligenceZuck yammers about "personal superintelligence" 0:24:24 - Oakley Meta HSTN Limited Edition impressions 0:35:06 - Ray-Ban Meta smart glasses revenue tripled over the year, EssilorLuxottica says 0:36:40 - You might want to delve into this paper. I want to underscore, that's a joke you'll comprehend only with meticulous reading of it. 0:45:10 - Donald Trump Says AI Companies Can't Be Expected To Pay For All Copyrighted Content Used In Their Training Models: “Not Do-Able” 0:50:04 - New: Amazon to Pay New York Times at Least $20 Million a Year in AI Deal 0:53:16 - Microsoft revolutionizes Edge as an AI-powered web browser with new experimental 'Copilot Mode' — here's how to enable it right now 0:54:57 - Related: Fellou.ai 0:59:19 - Perplexity for Mac now supports MCP, and you should check it out 1:02:50 - OpenAI's ChatGPT Agent casually clicks through “I am not a robot” verification test 1:04:43 - Google AI Mode adding Search Live video, Canvas, PDF upload, and more 1:08:01 - Meta Is Going to Let Job Candidates Use AI During Coding Tests 1:08:51 - Meta is testing AI use in technical interviews – DTNSB 5070 1:10:21 - Photoshop just made it shockingly easy to edit objects and people into photos 1:12:00 - Imax Teams With Runway On Commercial Screenings Of AI Film Festival Selections Learn more about your ad choices. Visit megaphone.fm/adchoices

The season finale of Investology! Marco Aboav, CEO of Etna Research delivers a contrarian take on the current state of AI and automation in financial services. The real challenge now is not technology, but change management, for operational efficiency. But not as a magic bullet for generating alpha. The real edge comes from domain expertise, data selection, and sophisticated modeling—areas where AI can assist but not replace human judgment. Enjoy the episode and the summer - see you in September.Key Takeaways:* The innovation cycle in AI for finance is already peaking—most essential tools and workflows are already available.* The next frontier is not more technology, but how organizations manage change, optimize teams, and handle data in a world of brutal efficiency.* Incumbents can still fight back against pricing pressure through operational efficiency and smart management decisions.* Big tech companies may struggle to succeed in verticals like finance, where high accuracy and deep integration are required.* The “frontier” is in highly specialized, vertical applications, not in generic AI solutions.About Marco Aboav:Marco Aboav is the CEO and Founder of Etna Research, specializing in the intersection of AI, data, and financial services. With deep expertise in operational efficiency and technology integration, Marco brings a unique perspective on the challenges and opportunities facing the industry today.”I fell in love with AI's potential to transform investing back in 2009 while wrestling with my engineering PhD. Since then, I've spent my career in financial services—across buy and sell-side roles in London—building businesses, managing money, and applying AI to capital markets.”Connect with Marco Aboav:* LinkedIn: https://www.linkedin.com/in/marco-jean-aboav/* Website: Etna Research About the Show:Investology is a podcast hosted by George Aliferis, CAIA, dedicated to rethinking investment management and uncovering new ways to deliver better outcomes for investors.Listen on every podcast platform, or on YouTube.Resources Mentioned:* Previous episode with Marco: * Perplexity for Finance: https://www.perplexity.ai/finance* Anthropic's MCP protocol: https://www.anthropic.com/news/model-context-protocol* Finbourne's MCP announcement: https://www.finbourne.com/finbourne-unlocks-compliant-agentic-ai-for-the-investment-industry-powered-by-mcp/* Anthropic for Financial Services: https://www.anthropic.com/solutions/financial-servicesEtna's recent publications* Diversification an Ephemeral Illusion: https://etnaresearch.notion.site/Diversification-An-Ephemeral-Illusion-231457fd575a800ead88c99086368e8a?pvs=74* Backtest Roulette: https://etnaresearch.notion.site/Backtest-Roulette-238457fd575a80dc8c27dc8e7574ed40Timestamps & Topics:00:00 – Introduction: Data Challenges04:00 – Introduction to Agent AI for Data Management06:39 – Simplifying Data Processes with AI08:47 – The Role of Data in Gaining Competitive Edge13:06 – Generative AI in Financial Services: Commodity or Edge?19:13 – Operational Efficiency and AI Adoption25:03 – Verticalization and High-Precision Problems40:30 – The Future of AI in Investment Management This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit investorama.substack.com

Kent C. Dodds is back with bold ideas and a game-changing vision for the future of AI and web development. In this episode, we dive into the Model Context Protocol (MCP), the power behind Epic AI Pro, and how developers can start building Jarvis-like assistants today. From replacing websites with MCP servers to reimagining voice interfaces and AI security, Kent lays out the roadmap for what's next, and why it matters right now. Don't miss this fast-paced conversation about the tools and tech reshaping everything. Links Website: https://kentcdodds.com X: https://x.com/kentcdodds Github: https://github.com/kentcdodds YouTube: https://www.youtube.com/c/kentcdodds-vids Twitch: https://www.twitch.tv/kentcdodds LinkedIn: https://www.linkedin.com/in/kentcdodds Resources Please make Jarvis (so I don't have to): https://www.epicai.pro/please-make-jarvis AI Engineering Posts by Kent C. Dodds: https://www.epicai.pro/posts We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Kent C. Dodds.

Como garantir segurança em sistemas cada vez mais complexos sem comprometer a velocidade de entrega? Nesta segunda parte do episódio sobre Datadog, Renan Menezes, Senior Sales Engineer, e Ruan Rodrigues Marins, Regional Manager, ambos da Datadog, discutem como as ferramentas da empresa podem automatizar processos e reduzir falsos positivos em ambientes integrados. Eles abordam desafios reais de segurança em chatbots, revelam como o MCP conecta dados para análises contextualizadas e compartilham insights sobre a aquisição da Metaplane. Dê o play e ouça agora! Dê o play e ouça agora! Links importantes: Vagas disponíveis Newsletter Dúvidas? Nos mande pelo Linkedin Contato:  entrechaves@dtidigital.com.br O Entre Chaves é uma iniciativa da dti digital, uma empresa WPP

Send us a textToday's episiode introduces Model Context Protocol (MCP), an open standard designed to enable Artificial Intelligence (AI) applications, particularly Large Language Models (LLMs), to seamlessly interact with third-party tools and data sources. It explains MCP's architecture, including hosts, clients, servers, and external tools, and highlights its benefits such as eliminating knowledge cut-offs, reducing hallucinations, and enhancing AI's capability to perform real-world actions. The discussion also touches upon the growing adoption of MCP servers by cybersecurity vendors to facilitate natural language interaction with security platforms, while acknowledging the potential security implications of this new architectural layer.Support the showGoogle Drive link for Podcast content:https://drive.google.com/drive/folders/10vmcQ-oqqFDPojywrfYousPcqhvisnkoMy Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/Youtube Channnel : https://www.youtube.com/@TheCybermanShow Twitter handle https://twitter.com/prashant_cyber PS: The views are my own and dont reflect any views from my employer.

Listen to the full episode here (https://podcast.modernclassrooms.org/53) Toni Rose is joined by Emily Dia to talk about using a Unit Zero to introduce the model, and they go on to describe a day in the life of a Modern Classroom once students have internalized the routines. Show Notes Toni Rose's Unit 0 Calendar (https://docs.google.com/document/u/0/d/18bwBGdE0Mfv5bXgOKi1EiTDgfCcNa5zY0z1sSryUAsU/edit) Keeping up with the Modern Classrooms: Episode #1: Unit 0 (https://youtu.be/DOBepbKk_Is) Marissa's Classroom (https://drive.google.com/file/d/1PSLVCDFJN5_vn6vAhcIb-oW0UX7LVL2k/view?usp=sharing) Johns Hopkins research data on MCP (https://drive.google.com/file/d/1eHVDlBCRuObRCJixpz-FaXiec-0QlwGf/view) Unit 0 One pager (https://docs.google.com/document/d/1y4Dzk3WAnq6WpklllbyRQykt9z_gFISI4BZlUE8vZqo/edit?usp=sharing) Family intro email (https://docs.google.com/document/d/1utfOMecEPm9BTV7Cn9NxdDWvgF_xyQxcYE1Wh1Nwijc/edit?usp=sharing) Unit 0 Reflection (https://docs.google.com/forms/d/e/1FAIpQLSdt1Yq1InBJCd0s8gxxasuyBCkzg6ALoCyqsL186Nr1Ib7d8Q/viewform?usp=sf_link) Unit 0, Lesson 1 (https://docs.google.com/document/d/1CxGkwPtwEgmEXtlwd0qD-2R63fE0pvzHGheANcSCL7Q/edit?usp=sharing) Family Communication Toolkit (https://docs.google.com/document/d/1gXhKgdvi1QfDR8m8Ow0YVpdBq2y8RQ589GUOqOEsDp8/edit?usp=sharing) Icebreaker Ideas (https://docs.google.com/presentation/d/1HiJs4x32ndpVQHFhjxiUZvtb1mZPKM25zBPuuHLU4bg/edit#slide=id.p): * Follow the Directions Activity (https://docs.google.com/document/d/1wTJomsZe8DfWU_Dwrybof-k9Ace-bZT9cwxHp5T3Qe0/edit?usp=sharing) * I am From Poem (https://docs.google.com/document/d/1830ckWM3bKuFuhE3bmfyDZS6HyHskiN8IhMnsC0cY-4/edit) Unit 0: Slide Development Template (https://docs.google.com/presentation/d/1gyLx3VYItficSqsKle9JHArLtiQiz1hDCpPFHv7aAnc/edit?usp=sharing) Adding ten minutes of reading time dramatically changes levels of print exposure (https://www.scilearn.com/wp-content/uploads/add-ten-minutes-of-reading.pdf) Follow us online and learn more: Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Kate: @gaskill_teacher (https://twitter.com/gaskill_teacher) on Twitter Toni rose: @classroomflex on Twitter (https://twitter.com/classroomflex) and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://www.learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/)

An airhacks.fm conversation with Jonathan Ellis (@spyced) about: brokk as a Norse dwarf who forged Thor's hammer, Java Swing UI performance advantages over Electron apps, zb build tool integration, onboarding experience comparison with Cursor, architect vs code buttons functionality, session management in brokk, build and test tool configuration, in-memory Java parser development, JVector and embedding models limitations, agentic search approach using find symbol by wildcard and fetch method tools, hierarchical embeddings concept, package-info for AI context, LLMs as artists needing constraints, Java's typing system advantages for AI feedback, architect mode with multiple tool access, code agent feedback loops, joern code graph indexing, Git integration with jgit, custom diff format avoiding JSON escaping issues, tool calling in architect mode, MCP server development in pure Java - zmcp, prompt templates for team collaboration, JBang installation experience, subscription pricing discussion, organizational subscriptions for corporate teams, avoiding context explosion in architect mode, Gemini Flash for summarization, workspace tools and summaries, build status feedback to architect, enterprise-friendly features development Jonathan Ellis on twitter: @spyced

In this episode, we sit down with Christian Posta, the Field CTO at Solo.io and an industry author and leader on topics such as Microservices, AI, and IAM.We will explore the rise of Agentic AI and its supporting protocols, such as MCP and A2A, and the broader challenges and considerations of Identity security in the age of LLMs.

Every enterprise is legit rushing to build AI agents.But there's no instructions. So, what do you do? How do you make sure it works? How do you track reliability and traceability? We dive in and find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Gemini's Veo 3 Video Creation ToolTrust & Reliability in AI AgentsBuilding Reliable AI Agents GuideAgentic AI for Mission-Critical TasksMicro Agentic System Architecture DiscussionNondeterministic Software Challenges for EnterprisesGalileo's Agent Leaderboard OverviewMulti-Agent Systems: Future ProtocolsTimestamps:00:00 "Building Reliable Agentic AI"05:23 The Future of Autonomous AI Agents08:43 Chatbots vs. Agents: Key Differences10:48 "Galileo Drives Enterprise AI Adoption"13:24 Utilizing AI in Regulated Industries18:10 Test-Driven Development for Reliable Agents22:07 Evolving AI Models and Tools24:05 "Multi-Agent Systems Revolution"27:40 Ensuring Reliability in Single AgentsKeywords:Google Gemini, Agentic AI, reliable AI agents, mission-critical tasks, large language models, AI reliability platform, AI implementation, microservices, micro agents, ChuckGPT, AI observability, enterprise applications, nondeterministic software, multi-agentic systems, AI trust, AI authentication, AI communication, AI production, test-driven development, agent EVALS, Hugging Face space, tool calls, expert protocol, MCP protocol, Google A2A protocol, multi-agent systems, agent reliability, real-time prevention, CICD aspect, mission-critical agents, nondeterministic world, reliable software, Galileo, agent leaderboard, AI planning, AI execution, observability feedback, API calls, tool selection quality.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of Phoenix Cast, hosts John and Kyle discuss MCP, and MCP vulnerabilities, and GPU Hammer.  Have a listen, and let us know what you think!We'd love to hear your thoughts! Tweet us at our new handle, @ThePhoenixCast, and don't forget to join our LinkedIn Group to connect with fellow Phoenix Casters. If you enjoyed the episode, help us out by leaving one of those coveted 5-star reviews on Apple Podcasts. Thanks for listening!Links:MCP - https://aws.amazon.com/blogs/database/supercharging-aws-database-development-with-aws-mcp-servers/?sc_channel=sm&sc_campaign=DBA_AWS_for_Data&sc_publisher=LINKEDIN&sc_country=global&sc_geo=GLOBAL&sc_outcome=awareness&sc_category=Amazon%20Q&linkId=835893819Vulnerabilities - https://thehackernews.com/2025/07/critical-vulnerability-in-anthropics.htmlhttps://thehackernews.com/2025/07/gpuhammer-new-rowhammer-attack-variant.html

OAI ambassador Erik Wilde explores how new specs like Arazzo and MCP are shaping AI-driven workflows, and why APIs may soon be your last line of defense. 

You can reach out and support me at: Patreon: https://www.patreon.com/LexaWhite Discord: ggyppt#1249 (Lexa White on most of the MCP discords) Tumblr: http://ggyppt.tumblr.com   Intro and Outro Music by Codefreq https://www.youtube.com/channel/UCc8KSSTFLmcls2pQEgCiyDw Logo designed by Rayan Meyer

This episode is sponsored by Natoma. Visit https://www.natoma.id/ to learn more.Join Jeff from the IDAC Podcast as he dives into a deep conversation with Paresh Bhaya, the co-founder of Natoma. In this sponsored episode, Paresh shares his journey into the identity space, discusses how Natoma helps enterprises accelerate AI adoption without compromising security, and provides insights into the rising importance of MCP and A2A protocols. Learn about the challenges and opportunities at the intersection of AI and security, the importance of dynamic access controls, and the significance of ensuring proper authentication and authorization in the growing world of agentic AI. Paresh also delights us with his memorable hike up Mount Whitney. Don't miss out!00:00 Introduction and Sponsor Announcement00:34 Guest Introduction: Paresh Bhaya from Natoma01:14 Paresh's Journey into Identity04:04 Natoma's Mission and AI Security06:25 The Story Behind Natoma's Name09:29 Natoma's Unique Approach to AI Security18:32 Understanding MCP and A2A Protocols25:20 Community Development and Adoption25:56 Agent Interactions and Security Challenges27:19 Navigating Product Development29:17 Ensuring Secure Connections36:10 Deploying and Managing MCP Servers42:40 Shadow AI and Governance44:17 Personal Anecdotes and ConclusionConnect with Paresh: https://www.linkedin.com/in/paresh-bhaya/Learn more about Natoma: https://www.natoma.id/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at idacpodcast.comKeywords:IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Natoma, Paresh Bhaya, Artificial Intelligence, AI, AI Security, Identity and Access Management, IAM, Enterprise Security, AI Adoption, Technology, Innovation, Cybersecurity, Machine Learning, AI Risks, Secure AI, #idac

LLMs are so yesteryear. The next wave? Agentic browsers. While we're all rushing to bring personalization, company files and more into front-end large language models, agentic browsers have been quietly staking their claim as the next big thing in AI. We explain why.Try Gemini 2.5 Flash! Sign up at  AIStudio.google.com to get started. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Agentic AI Browsers vs. Chatbots OverviewFive Advantages of Agentic AI BrowsersPerplexity Comet Agentic Browser Case StudyOpenAI ChatGPT Agent and Virtual BrowserMicrosoft Edge Copilot Vision Agentic FeaturesGoogle Project Mariner and Gemini UpdatesStartup Agentic Browsers: Fellow, Opera Neon, DIALogged-In State and Workflow AutomationFuture Trends: Agentic Browser Momentum AnalysisTimestamps:05:10 Unlearning for AI-driven Work09:54 Agentic Browsers: Enhanced Context Utilization10:54 "AI Communication Simplified with MCP"15:28 "Hybrid AI's On-Device Speed"18:10 AI Browser Evolution22:40 Google Project Mariner Overview27:30 Streamlining Analytics with Agentic Browsers30:31 Agentic AI in Browsers32:08 Agentic AI's Rapid EvolutionKeywords:Agentic AI, agentic browsers, agentic AI browser, AI in the browser, agentic workflows, large language models, LLMs, front end chatbots, AI chatbot, Perplexity Comet, virtual browser, browser automation, AI-powered browsers, Google Gemini, ChatGPT agent, OpenAI virtual computer, model context protocol, MCP, agentic workflows, A2A protocol, hybrid AI architecture, Chromium-based browser, Microsoft Edge, Copilot Vision, Project Mariner, teach a task mode, Gemini assistant, logged in content, richer context, task automation, cross-site task automation, multi-step task automation, browser memory, shadow windows, Eco framework, natural language agentic workflows, JavaScript agentic workflows, Neon Opera browser, contextual AI, offline AI tasks, cloud browser, Manus AI, multi-agent architecture, browser cookies, contextual assistance, prompt engineering, personalized AI browser experience, task completion AI, web automation, business workflow automation, 2025 agentic browser predictions, virtual desktops.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

AI is more than LLMs. Machine learning algorithms have been part of infosec solutions for a long time. For appsec practitioners, a key concern is always going to be how to evaluate the security of software or a system. In some cases, it doesn't matter if a human or an LLM generated code -- the code needs to be reviewed for common flaws and design problems. But the creation of MCP servers and LLM-based agents is also adding a concern about what an unattended or autonomous piece of software is doing. Sohrob Kazerounian gives us context on how LLMs are designed, what to expect from them, and where they pose risk and reward to modern software engineering. Resources https://www.vectra.ai/research Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-340

AI is more than LLMs. Machine learning algorithms have been part of infosec solutions for a long time. For appsec practitioners, a key concern is always going to be how to evaluate the security of software or a system. In some cases, it doesn't matter if a human or an LLM generated code -- the code needs to be reviewed for common flaws and design problems. But the creation of MCP servers and LLM-based agents is also adding a concern about what an unattended or autonomous piece of software is doing. Sohrob Kazerounian gives us context on how LLMs are designed, what to expect from them, and where they pose risk and reward to modern software engineering. Resources https://www.vectra.ai/research Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-340

AI is more than LLMs. Machine learning algorithms have been part of infosec solutions for a long time. For appsec practitioners, a key concern is always going to be how to evaluate the security of software or a system. In some cases, it doesn't matter if a human or an LLM generated code -- the code needs to be reviewed for common flaws and design problems. But the creation of MCP servers and LLM-based agents is also adding a concern about what an unattended or autonomous piece of software is doing. Sohrob Kazerounian gives us context on how LLMs are designed, what to expect from them, and where they pose risk and reward to modern software engineering. Resources https://www.vectra.ai/research Show Notes: https://securityweekly.com/asw-340

Existential Dread and Seawater, MCP, Cloudflare, ESxi, QR Codes, Salt Typhoon, Aaran Leyland, and More on this episode of the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-495

Join Simtheory: https://simtheory.ai---CHAPTERS:00:00 - Ani Joins The Show01:10 - Grok 4 Launch & Impressions18:24 - Kimi K2 Thoughts, Impressions & MCP tool calling36:00 - OpenAI's Agent Mode Release Initial Impressions & Are MCP Agentic Models Better?1:21:10 - Everyone Acquired Windsurf1:24:48 - Final thoughtsThanks for listening and your support!

Existential Dread and Seawater, MCP, Cloudflare, ESxi, QR Codes, Salt Typhoon, Aaran Leyland, and More on this episode of the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-495

Existential Dread and Seawater, MCP, Cloudflare, ESxi, QR Codes, Salt Typhoon, Aaran Leyland, and More on this episode of the Security Weekly News. Show Notes: https://securityweekly.com/swn-495

You can reach out and support me at: Patreon: https://www.patreon.com/LexaWhite Discord: ggyppt#1249 (Lexa White on most of the MCP discords) Tumblr: http://ggyppt.tumblr.com   Intro and Outro Music by Codefreq https://www.youtube.com/channel/UCc8KSSTFLmcls2pQEgCiyDw Logo designed by Rayan Meyer

Wes and Scott talk about how developers can expose powerful tools to AI using the Model Context Protocol. They discuss tool calling, remote MCP specs, authentication, and real-world use cases that make AI more capable through smarter integrations. Show Notes 00:00 Welcome to Syntax! 01:36 What is MCP? 07:23 MCP tools 11:33 MCP resources 13:43 Saving reusable prompts 16:18 Creating and validating MCP tools 18:31 Brought to you by Sentry.io 18:31 Tool calling vs MCP servers 21:28 Remote vs local MCP servers mcp-remote 26:24 Useful MCP servers mcp-server-cloudflare use-mcp awesome-mcp-servers 32:48 Sick Picks + Shameless Plugs Sick Picks Scott: Mario Kart World Wes: anyloop Kid's Watch Shameless Plugs Syntax YouTube Channel Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Naoya Ito さんをゲストに迎えて、Claude Code, AI, K-POP などについて話しました。 Show Notes Rebuild: 405: MCP for Reporting to HR (naoya) Amazon Bedrock – AWS Claude Code Shopify CEO: Prove AI can't do jobs before asking for more headcount Claude Code GitHub Actions - Anthropic Bernie Sanders: It's time for a 4-day work week Windsurf's CEO is going to Google LLM: A CLI utility and Python library for interacting with Large Language Models llm Discord bot カレンダーとTodoを自然言語で適当にかけてよい 関数型まつり Haskell でアルゴリズムを抽象化する / 関数型言語で競技プログラミング TWICE "THIS IS FOR" aespa 에스파 'Dirty Work' IVE - After LIKE / THE FIRST TAKE LE SSERAFIM (르세라핌) 'DIFFERENT' OFFICIAL MV aespa - 2024 aespa LIVE TOUR – SYNK : PARALLEL LINE – in TOKYO DOME WE❤NJ MOHA JP【モハブログ】 CANDY TUNE「倍倍FIGHT!」【海外の反応】

In this episode of Detection at Scale, Jack speaks with Erik Bloch, VP of Security, Illumio, about why most security operations teams aren't ready for AI tools and what fundamental processes must be in place first. Erik challenges the industry's obsession with new technologies, sharing stories from his experience transforming underperforming security teams at major companies like Cisco, Salesforce, and Atlassian.  His conversation with Jack explores how to measure what actually matters in security operations, from team capacity utilization to business outcome dispositions, and why proper ticketing systems and actionable metrics are prerequisites for any advanced tooling to be effective. Topics discussed: The importance of establishing fundamental processes like ticketing systems and metrics before implementing AI tools in security operations. How to measure team capacity utilization and resource allocation to identify when security operations teams are operating beyond sustainable levels. Why traditional security metrics like mean time to detect are often vanity metrics that don't provide actionable business intelligence. The critical need for security leaders to communicate in business language with concrete data rather than anecdotal risk assessments. How managed service providers will likely be the first to successfully adopt AI tools due to their standardized processes. The challenge of proving AI tool effectiveness when most organizations lack baseline metrics to measure improvement against established benchmarks. Why security teams gravitate toward building custom tools and how this impacts their approach to adopting commercial AI solutions. The role of MCP in enabling security teams to create their own agents and integrate multiple tools. How AI should focus on eliminating routine tasks like phishing email analysis rather than trying to catch advanced persistent threats. The framework for implementing AI tools by starting with business outcomes, defining metrics, identifying capabilities, and then inserting automation.  Listen to more episodes: Apple  Spotify  YouTube Website

What if your intern had a better executive assistant than your CEO? In this episode of TNW, Aydin sits down with Nick Sonnenberg—Wall Street veteran, bestselling author, and founder of Leverage—to explore how AI agents are radically transforming how work gets done. Nick demos a real AI-powered assistant that can handle email, prep meeting briefs, and even outperform human teammates. You'll hear how he structures agent orchestration, optimizes prompts as IP, and envisions a future where everyone at every level has a digital assistant.What You'll Learn:- Why every employee (not just execs) should have their own AI assistant- How AI agents can be “managed” like employees—with hierarchy and QA- The role of MCP (Model Context Protocol) in unlocking personalized, high-context automation- Why context is king in building truly useful AI workflows- Why prompt libraries should be treated like company IPTimestamps:00:00 – Imagine if interns had better EAs than execs01:00 – Nick's background: From high-frequency trading to AI consulting02:20 – The origin of Leverage and the obsession with efficiency03:10 – Inbox Zero, RAD framework, and AI-powered email agents04:50 – What is MCP and why it matters06:20 – The CPR framework: Communicate, Plan, Resource08:30 – Orchestrator agents and agent 11:00 – QA as the new job for every role12:00 – Why execs are adopting AI faster than junior employees13:40 – The “Sniper Agent” and building executive briefs16:00 – Personalized, context-rich email drafting20:00 – Prompt optimization strategy as a business asset22:30 – Real-time battle card generation and agent chaining23:30 – Custom summaries using frameworks, not just transcripts24:00 – Behind the scenes: building and deploying agentsTools & Technologies Mentioned:Claude – Anthropic's AI model, used here with MCP and custom agentsMCP (Model Context Protocol) – Allows secure access to private data and agent orchestration within AI platformsAsana – Project management tool integrated with agentsZapier / NADN / Crew AI – Automation platforms for building AI workflowsPerplexity – Used to scan public web/news as part of the AI brief generationCoda / Notion – Popular tools for knowledge capture, now evolving into AI-integrated workflowsHubSpot – CRM used to integrate and personalize AI-generated contentFellow – AI meeting intelligence tool for smarter call summariesNick's website: https://www.getleverage.ai/Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Just about every big tech company made splashes in AI this week.↳ Google acqui-hired a company that OpenAI failed to straight up acquire↳Microsoft is investing $4 billion into AI training↳ OpenAI is going after the AI browser space↳ and Meta reportedly spent more than $200 million on one employeeSheeeeesh. It's been a whirlwind. Don't get left behind. We'll help you be the smartest person in AI at your company.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI's AI Browsers vs. Google ChromePerplexity's Comet Browser Launch StrategyXAI's Controversial Grok4 Alignment IssuesTeacher Union's AI Training PartnershipMicrosoft Elevate AI Training InitiativeNVIDIA's $4 Trillion Market Cap MilestoneGoogle Acqui-hires Windsurf for DeepMindMeta's $200M Apple AI Talent AcquisitionTimestamps:00:00 "Everyday AI: Weekly News Recap"05:36 Perplexity's Comet: Agentic Browser Shift06:49 AI-Powered Browsing with Perplexity's Comet10:44 "Grok 4: Aligns with Musk's Views"15:37 AI Workshops for Teachers Nationwide18:32 Microsoft's Elevate Program: AI Access & Trust19:51 AI Strategy and Training Partners23:13 Google Hires Wind Surf Executives29:04 AI Updates: Claude's MCP and Google Gemini31:36 AI Developments: Browsers, Training, Market MovesKeywords:Google acquihire, Windsurf, OpenAI browser, Perplexity, agentic browsers, Meta superintelligence, AI news, Google Chrome dominance, ChatGPT users, Chromium, computer vision, AI agents, reservation booking, AI services, market dominance, browser wars, anthropic, Claude, Perplexity's Comet, AI powered web, conversational interface, AI assistant, natural language, OpenAI's GPT, anthropic claw, Grok four, XAI, Elon Musk AI, AI benchmarks, content moderation, Grok controversy, AI alignment, TechCrunch, contentious questions, AI partnerships, educational AI, American Federation of Teachers, Microsoft Copilot, Microsoft funding, ethical AI, Elevate Academy, NVIDIA market cap, AI chips, Google DeepMind, AI coding, Apple AI executive, AI metrics, Anthropic, Microsoft layoffs.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.

Listen now: Spotify, Apple and YouTubeWhat if you had a personalized AI toolkit—not just a chatbot—that actually remembered your projects, your workflows, and even your family's preferences?In this episode, Marc and Ben sit down with Mike Bal, a product leader experimenting at the frontier of AI tooling. Mike shares how he built a local memory system for Claude using Model Context Protocols (MCPs), enabling persistent knowledge graphs that connect everything from his product designs to his family's vacation plans. They walk through how it works—step-by-step—including a live demo of Fleur (essentially a mini app marketplace to make it easy for non technical people to add MCPs to Claude), how Mike structures entities and relationships, and why this setup beats traditional RAG approaches for real-world usage.If you've ever wanted your AI to truly understand you and the work you do—or you're curious how a product leader uses AI to streamline everything from design reviews to family logistics—this episode is packed with real-world inspiration and actionable examples.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Listen to the full episode here (https://podcast.modernclassrooms.org/207) Guest host Avery Balasbas is joined by a panel of his previous students who are now in college to discuss their MCP experience and how it prepared them for learning beyond high school Read a summary of this episode on the Modern Classrooms Project blog (https://www.modernclassrooms.org/blog/true-college-and-career-readiness). Show Notes Avery's previous MCP Podcast episodes: Episode 139: Teacher and Learner Reflection Practices (https://podcast.modernclassrooms.org/139) Episode 200: Celebrating 200 Episodes (https://podcast.modernclassrooms.org/200) Subway Surfers (https://poki.com/en/g/subway-surfers?campaign=14726801018&adgroup=126978543349&extensionid=&targetid=kwd-38162773484&location=9007807&matchtype=e&network=g&device=c&devicemodel=&creative=669862134951&keyword=subway%20surfers&placement=&target=&gad_source=1&gbraid=0AAAAADlg9ZEeldy7fFdGgjHiTP-hrlnDQ&gclid=Cj0KCQjw3bm3BhDJARIsAKnHoVWutnkEE-vLQQMzDhf50Op28jnhU-SJyxvwS9A3HQwVqb1D2UDhrNkaAtNEEALw_wcB) Ochem Tutor (https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA) Blackpenredpen (https://www.youtube.com/c/blackpenredpen) Contact us, follow us online, and learn more: Email us questions and feedback at: podcast@modernclassrooms.org (mailto:podcast@modernclassrooms.org) Listen to this podcast on Youtube (https://www.youtube.com/playlist?list=PL1SQEZ54ptj1ZQ3bV5tEcULSyPttnifZV) Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Toni Rose: @classroomflex (https://twitter.com/classroomflex) on Twitter and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/)

Columbia University has recently suffered a significant data breach, compromising the personal information of 1.8 million individuals, including social security numbers and financial aid details. The hacker, motivated by political opposition to affirmative action policies, claims to have stolen 460 gigabytes of sensitive data. This incident is part of a troubling trend of politically motivated cyber attacks targeting higher education institutions, particularly following the Supreme Court's decision to bar affirmative action practices in 2023. The limited media coverage of this breach raises concerns about data security and the integrity of academic institutions.In a related development, malware detection has surged by 171% in the first quarter of 2025, according to a report from WatchGuard Technologies. This increase highlights the growing sophistication of cyber threats that are outpacing traditional defenses. The report indicates a staggering 712% rise in new malware threats on endpoints, with the LSASS dumper identified as a leading threat. This trend underscores the need for organizations, especially universities and small businesses, to recognize the escalating risks and adapt their security strategies accordingly.Huntress has announced a collaboration with Microsoft to enhance cybersecurity for businesses, integrating its enterprise-grade solutions with Microsoft environments. This partnership aims to provide essential protections for endpoints and identities, allowing organizations to respond more effectively to cyber threats. Meanwhile, Microsoft is discontinuing the use of its Authenticator app for password storage, prompting users to transition to alternative solutions. This shift emphasizes the need for users to rethink their credential management strategies in light of evolving security practices.The podcast also touches on the implications of recent incidents involving major IT service providers, such as Ingram Micro's ransomware attack, which has raised concerns about vendor trust and supply chain fragility. As vendors face scrutiny following security breaches, the erosion of trust in their products becomes a significant issue for managed service providers (MSPs). Additionally, the discussion includes emerging concepts in artificial intelligence, such as context engineering, and the growing prevalence of AI note-takers in meetings, which raises questions about the balance between technological efficiency and human interaction in the workplace. Four things to know today 00:00 Columbia Breach and Malware Surge Show Why Compliance Alone Fails in Today's Threat Landscape04:19 Huntress and Microsoft Join Forces to Bring Enterprise-Grade Security to SMBs and MSPs07:18 Palo Alto Networks Denies Involvement in Ingram Micro Ransomware Attack08:53 MCP's Universal Plugin Model Could Transform MSP Integration and Governance This is the Business of Tech.    Supported by: https://mspradio.com/engage/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

In this Episode, Will is joined by Merzain for a meandering discussion about Nashcon, Dice, Apocalypse, Wakanda, Wizards, Sentinels and Gotcha-Games.  If that sounds like a lot of ground to cover in a little over an hour, you'd be right!  However, the guys really show the process of deciding what to play at an event looks like when there's so many great things available in MCP.  Don't forget the Phoenix and Midnight Sons #Giveaway is LIVE!  Enjoy! Baron of Dice - HouseParty for 5% off! Patreon and Merch and more! Krydrufi Hobby Station Thing USE CODE: KRYDRUFI-HPP Connect with us on Facebook @housepartyprotocol HPP on Youtube Discord - HPP_Will Email us - housepartyprotocolpod@gmail.com BattleKiwi - PARTYKIWI The Gamer's Guild A Touch of Tinge - The Warcrow Podcast

Wiz is a cloud security platform that helps organizations identify and remediate risks across their cloud environments. The company's platform scans layers of the cloud stack, including virtual machines, containers, and serverless configurations, to detect vulnerabilities and misconfigurations in context. The Model Context Protocol, or MCP, is emerging as a potential standard for connecting LLM The post MCP Security at Wiz with Rami McCarthy appeared first on Software Engineering Daily.

The Model Context Protocol (MCP) specification has helped to accelerate access to a wide range of data sources for AI applications. But there are questions about the security and trust implications around a protocol that is still in its infancy. Scott Crawford and Justin Lam return to the podcast to examine the concerns that have been raised and changes that are underway in the specification with host Eric Hanselman. The previous episode introduced MCP and some of the market forces that are in play. Security considerations didn't appear to be fully sorted out in the first version of the specification, but more work is being done to move beyond the OAuth-based approach. Automating the data access process can be powerful, but also fraught with the potential for abuse.  The larger questions in MCP revolve around understanding risk and establishing trust. Data exposure has been a constant concern in AI, but the more complex issues exist in the integrity of the data that's being used. AI technology is moving forward rapidly and adversaries that are looking to compromise it and moving right along with these advances. More S&P Global Content: The 2025 Generative AI Outlook Next in Tech | Ep. 224: Context Around MCP For S&P Global Subscribers: Technology Primer: Model Context Protocol explained Databases and analytic services get the agentic AI treatment at Google Cloud Next 2025 IT Insider 3: A roundup for IT decision-makers Credits: Host/Author: Eric Hanselman  Guests: Scott Crawford, Justin Lam Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

Alan Braithwaite is Co-Founder & CTO of RunReveal, the security data platform with real-time monitoring, built-in detections, and AI-powered investigations. Today, they manage and analyze security logs for teams at Harvey, ClickHouse, Cloudflare, and Temporal. RunReveal has multiple open source projects including event stream processing library kawa and query language pql. RunReveal has raised from investors including Costanoa, Modern Technical Fund, and Runtime Ventures. In this episode, we dig into:Why today's modern security teams are rethinking data management The benefits of building RunReveal on ClickHouse How they worked with early believers / customers like TemporalTheir open source strategy and building trust with the community through open sourcing components like their event processing libraryTheir MCP server and enabling security teams to use AI to automate investigations (including the launch of their new remote MCP server)

We're in between WWDC and the Public Betas, and it's the perfect time for a summer vibe check!Tom and Jeff break down what they're reading, watching, listening to, and playing with this summer. Books, newsletters, podcasts, the new Reply All Time and Top Songs playlists in Apple Music, and more. Additionally, Tom gets nerdy with Claude, Readwise, and MCP, while Jeff plans to dabble in sketching and watercolors. Links:White Noise – Don DeLilloCrudo – Olivia LaingWellness – Nathan HillThe Hidden Girl and Other Stories – Ken LiuThroughline – NPR PodcastSeeing White (Scene on Radio) – Listen to Episode 1The Mars Volta – Lucro Sucio; Los Ojos del Vacío (Filthy Lucre; The Eyes of the Void)Pink Elephant – Arcade FireJeff's Playlist – Trying Not to CryLost in Play – Apple ArcadeSahil BloomJames Clear – Atomic HabitsUnreasonable HospitalityLean LearningVanessa Lau on YouTubeModern Wisdom PodcastQuestion or Comment? Send us a Text Message!Contact Us Drop us a line at feedback@basicafshow.com You'll find Jeff at @reyespoint on Threads and reyespoint.bsky.social on Bluesky Find Tom at @tomanderson on Threads Join Tom's newsletter, Apple Talk, for more Apple coverage and tips & tricks. Tom has a new YouTube channel Show artwork by the great Randall Martin Design Enjoy Basic AF? Leave a review or rating! Review on Apple Podcasts Rate on Spotify Recommend in Overcast Intro Music: Psychokinetics - The Chosen Apple Music Spotify Transcripts and some images are AI generated and may contain errors and general silliness....

In this episode, host Joe Colantonio sits down with Debbie O'Brien, Principal Technical Program Manager at Microsoft and a leading advocate for Playwright end-to-end testing. Debbie shares her fascinating journey from web design in the late '90s to building and nurturing the Playwright community at Microsoft. Together, they tackle the latest and greatest in test automation, with a special focus on Playwright's Model Context Protocol (MCP) server and how you can unlock its powerful AI-driven browser automation capabilities. From real-world advice on overcoming resistance to testing in teams to the exciting possibilities MCP brings for generating and scaling tests with natural language and AI, this conversation is packed with both practical tips and future-looking insights. Debbie also addresses common fears around AI replacing jobs, highlighting the need for testers and developers to embrace these tools and stay ahead of the curve. Whether you're an automation engineer, front-end developer, or simply curious about where testing is headed, this episode is full of actionable wisdom and inspiration. Tune in and get ready to supercharge your automation skills!

Ready for a great explanation of Agentic AI? For the last show at Build, Carl and Richard sit down with Seth Juarez to dig into what agentic AI really is - and how you can take advantage of it! Seth discusses the potential of MCP and NLWeb to enable agents to work with each other, as well as the challenges of managing these tools effectively. The conversation turns to what's happening under the hood of agentic AI software, including the limitations of its abilities. There is a need for governance and clear thinking with these new development tools!

The AI drama is full tilt!↳ Meta and OpenAI have all but declared a war on top tech talent. ↳ Google released a free AI coding tool that will likely make huge cuts into Claude's customer base. ↳ Salesforce says AI is doing their own jobs for them. And that's just the tip of the AI iceberg y'all. Don't waste hours a day trying to keep up with AI. Instead, join us on Mondays as we bring you the AI News That Matters.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Talent War: Meta vs. OpenAIAI Firms and Copyright Lawsuits UpdateOpenAI Trademark Battle with IOEleven Labs' New Voice AI LaunchUS Senate AI Regulation DealAnthropic's Claude Platform Features UpdateSalesforce's AI Workload IntegrationGoogle Gemini CLI Free Coding ToolMeta's Aggressive AI Talent RecruitmentOpenAI's Strategy to Retain ResearchersTimestamps:00:00 "AI News: Weekly and Daily Updates"03:12 AI Copyright Lawsuits: Early Rulings09:18 OpenAI-IO Trademark Dispute Unveiled12:23 Futile Lawsuit Against New Gadget14:21 "11 AI: Voice-Activated Task Assistant"17:37 "AI Strategy and Education Solutions"21:54 Federal AI Funding and State Regulation25:05 States Must Forego AI Regulation28:18 Anthropic Updates Claude with Artifacts31:23 Claude vs. Google Usage Limits37:17 Google Disrupts Coding with Free Tool40:17 Meta's AI Talent and Business Strategy44:20 OpenAI Responds to Meta Poaching45:49 AI Developments: LLaMA and Grok Updates49:14 OpenAI Faces Lawsuit Over IOKeywords:AI talent war, Meta, OpenAI, Federal judges ruling, California federal judges, Copyrighted books, Anthropic, Meta's legal win, Sarah Silverman, US Supreme Court, Intellectual property rights, New York Times vs OpenAI, Disney lawsuit, Universal lawsuit, Midjourney, State AI regulation, Federal funding, US Senate, Ten-year ban, Five-year ban, AI infrastructure, Federal AI funds, Sam Altman, IO hardware startup, Trademark battle, Hardware device, Eleven Labs, 11 AI, Voice assistant, Voice command execution, MCP, Salesforce, Marc Benioff, AI workload, AI agents, Anthropic Claude update, Artifacts feature, Artifact embedding, Salesforce customer service, Command line interface, Gemini CLI, Gemini 2.5 pro, Coding tools, Desktop coding agent, Meta poaching, Superintelligence lab, AI researchers, Meta's aggressive recruitment, Llama four, Llama 4.5, Microsoft, Anthropic, Google Gemini scheduled tasks, GoogleSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Author here! I'll be honest, I did not expect this story to drop on MCP's channel, but I'm happily surprised by it! I know you're all waiting for him to finish up my Vegas story, and hopefully you'll get the conclusion soon, but until then, here's a story I thought up one day while showering. Enjoy! ~ J.L. Goodwin