S1:E2

MCP 101: The Model Context Protocol for AI Agents

AI
34 min

Host

Jonny DaenenJonny Daenen

Guest

Pierre CrocheletPierre Crochelet

In this conversation, Jonny Daenen and Pierre Crochelet explore the Model Context Protocol (MCP), a framework that enhances AI assistants by allowing them to perform various tasks through tools, resources, and prompts.

They discuss the architecture of MCP, how to build an MCP server, and the developer flow for creating tools. The conversation also touches on the compatibility of MCP with different AI agents and the user experience, highlighting both the potential and limitations of the protocol.

Chapters

  1. 00:00Introduction
  2. 01:03Demo: Claude Desktop & MCP
  3. 04:43What is the Model Context Protocol?
  4. 07:09Tools, Resources & Prompts
  5. 08:20The protocol: Host-Client-Server
  6. 11:05Building your own MCP server
  7. 16:46Prompts, resources & tool functionality
  8. 19:45Developer flow & the Inspector
  9. 23:31Function limitations & return types
  10. 26:34Testing the tool & integrating other agents
  11. 28:46Community MCP servers & current limitations
  12. 32:11Summary & next steps

Tags

Model Context ProtocolMCPAI AssistantToolsResourcesPromptsClaudeOpenAIGeminiServerDevelopment

Listen on

Technologies

MCPClaudeOpenAIGemini

Additional material