# Model Context Protocol Deep Dive Page: https://stenobird.com/podcast/practical-ai/model-context-protocol-deep-dive Text version: https://stenobird.com/podcast/practical-ai/model-context-protocol-deep-dive.md Podcast: [Practical AI](https://stenobird.com/podcast/practical-ai) Published: 2025-05-08T12:56:50+00:00 Episode link: https://share.transistor.fm/s/d7a0d796 Audio file: https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/d7a0d796/0e8b4946.mp3 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/practical-ai/episodes/model-context-protocol-deep-dive Duration seconds: 2543 ## Resource 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) ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/practical-ai/episodes/model-context-protocol-deep-dive/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/practical-ai/model-context-protocol-deep-dive.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.