"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."
"Den Delamarski is a Principal Product Engineer at Microsoft working in the Core AI division, focusing on AI tools for developers. Den is one of the core maintainers of the Model Context Protocol (MCP), having initially joined the project through his expertise in security and authorization. When MCP first launched with an auth specification, Den identified opportunities to improve it for enterprise scale and worked with the Anthropic team to rewrite the authorization framework, which was merged into the June 2024 version of the protocol."
Model Context Protocol (MCP) standardizes how tools, prompts, and resources are exposed so one Python service can connect editors and agents across platforms. MCP emphasizes practical transports, guardrails, and streaming progress updates to support responsive integrations. The authorization framework was rewritten for enterprise scale and merged into the June 2024 protocol version. FastMCP leverages Python async/await for streaming and uses a Flask-like decorator pattern (@mcp.tool, @mcp.prompt, @mcp.resource) to expose functions as MCP primitives. Developers can build a small, secure MCP server to plug local tools and data into an internet of agents.
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