Beyond the Prompt: How MCP Connects Language Models to Real Tools
summary
Explains the Model Context Protocol (MCP) as a modular, secure, open way to connect language models to real tools, data and apps to reduce integration chaos in agent systems. Shows concrete examples using Zed, Claude Desktop, WindSurf and Goose, demos of running an MCP server in TypeScript or Python, and integration with frameworks like LangGraph while covering prompts, tools, resources, sampling and composability for distributed autonomous LLM architectures.
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chapters (10)
- 0:00Introduction
- 10:19What are MCPs?
- 13:28MCP technical structure
- 21:39Demo: file system
- 27:22Demo: SQLite database
- 33:01Demo: custom API
- 38:41Demo: Ethereum scanner
- 40:53Auto-generation with Postman
- 41:56Additional resources
- 42:40Q&A
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