Today we’re digging into the Model Context Protocol, or MCP. Think LSP for AI: build a small Python service once and your tools and data show up across editors and agents like VS Code, Claude Code, and more. My guest, Den Delimarsky from Microsoft, helps build this space and will keep us honest about what’s solid versus what's just shiny. We’ll keep it practical: transports that actually work, guardrails you can trust, and a tiny server you could ship this week. By the end, you’ll have a clear mental model and a path to plug Python into the internet of agents.

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Links from the show

Den Delimarsky: den.dev

Agentic AI Programming for Python Course: training.talkpython.fm

Model Context Protocol: modelcontextprotocol.io

Model Context Protocol Specification (2025-03-26): modelcontextprotocol.io

MCP Python Package (PyPI): pypi.org

Awesome MCP Servers (punkpeye) GitHub Repo: github.com

Visual Studio Code Docs: Copilot MCP Servers: code.visualstudio.com

GitHub MCP Server (GitHub repo): github.com

GitHub Blog: Meet the GitHub MCP Registry: github.blog

MultiViewer App: multiviewer.app

GitHub Blog: Spec-driven development with AI (open source toolkit): github.blog

Model Context Protocol Registry (GitHub): github.com

mcp (GitHub organization): github.com

Tailscale: tailscale.com

Watch this episode on YouTube: youtube.com

Episode #527 deep-dive: talkpython.fm/527

Episode transcripts: talkpython.fm

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