Practical AI · 2025-05-08 · 42 min
In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP. Featuring: Chris Benson - Website , GitHub , LinkedIn , X Daniel Whitenack - Website , GitHub , X Links: Protocol website Anthropic blog post Blog post - Model Context Protocol (MCP) an overview FastAPI-MCP How to Use FastAPI MCP Server: A Complete Guide Candle (Rust framework)
Other episodes covering the same guests and topics, from across The B2B Podcast Index.
Building the Internet of Medicine: How AI Could Transform Children's Healthcare | Dr. Timothy Chou - Founder, Pediatric MoonshotProgress, Potential, and Possibilities Podcast / Show · on Artificial intelligence92 / 100
Scaling TensorFlow, Navigating Startup Pivots, ML Edge Infrastructure and AI Inference Strategy w/ Rajat MongaEngineering Founders · on Deep Learning85 / 100
How B2B Marketers Use Predictive Lead Scoring for Enterprise SalesB2B Marketing with Fexingo · on Machine Learning85 / 100
Jack Hidary, CEO of Sandbox AQ | The Third Quantum RevolutionThe BreakLine Arena · on Neural networks83 / 100
DOP 356: Warehouse Robots Are a Distributed SystemDevOps Paradox · on Neural networks83 / 100
On Device AI vs Cloud AI, How Sensory Built 30+ Years of Voice Innovation with Todd MozerBuilt to Scale: B2B Growth with Rym Benchaar · on Neural networks83 / 100
Reconstructing how OpenAI agents attacked Hugging Face80 / 100
Image Generation and Visual Intelligence with Black Forest Labs86 / 100
AIUC-1: Building trust in AI agents74 / 100
Zero Trust for AI Agents61 / 100
Breaking down the 2026 Stanford AI Index Report53 / 100