Model Context Protocol Deep Dive
· 42 min · Episode 312
Episode Model Context Protocol Deep Dive
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)
Links in the notes 13
- https://chrisbenson.com/
- https://github.com/chrisbenson
- https://www.linkedin.com/in/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://modelcontextprotocol.io/introduction
- https://www.anthropic.com/news/model-context-protocol
- https://www.philschmid.de/mcp-introduction
- https://github.com/tadata-org/fastapi_mcp
- https://huggingface.co/blog/lynn-mikami/fastapi-mcp-server
- https://github.com/huggingface/candle
Transcript
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