Anthropic MCP with Ollama, No Claude? Watch This!

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AI Summary

Summary of Video Transcript

• Topic: Building a native Model Context Protocol (MCP) application to connect with LLMS hosted on OLlama and OpenAI.
• Key Points:
  • Anthropics open-sourced MCP, which connects LLMS to external data sources.
  • The community faced challenges integrating MCP with their own applications and models other than CLA Sonet.
  • The video demonstrates how to use MCP with different LLMS, specifically GPT-4 Mini and Llama 32.
  • The demo includes interacting with a SQLite database, listing tables, and querying products ordered by price.
  • The application is a CLI that communicates with MCP servers without needing CLA desktop.
  • The CLI is detailed, showing how to set up and run MCP servers, handle commands, and interact with LLMS.
  • The architecture involves a host (MCP CLI or CLA desktop), client applications, servers (like SQLite), and resources.
  • The protocol operates through standard IO or HTTP servers, with initialization, operation, and disconnection phases.
  • The video explains JSON-RPC messages, server capabilities, and tool invocation.
  • The CLI is capable of function calling, which allows LLMS to interact with tools in their context.
  • The GitHub repository github.com/cruk/mCP-D-CLI contains the code for the CLI.
  • The video concludes by encouraging viewers to build their own applications and servers using MCP and different LLMS.

Detailed Instructions and Tips (if present)

• Environment Setup:
  • Set OpenAI API key in the .env file for OpenAI integration.
  • Use uvicorn to run the application.
  • Set the provider to olama and model to lama 3.2 for OLlama integration.
• CLI Usage:
  • Use chat command to enter interactive chat mode.
  • Use list tables, describe table, and read query for database interactions.
  • Use ping to check server responsiveness.
  • Use list prompts and list resources to view available prompts and resources.
  • Use list tools to view available tool queries.
• Server Configuration:
  • Modify server config JSON file to change server configurations.
  • Use uvicorn with mCP server sqlite and a database path to run the SQLite server.
• Debugging:
  • Switch to debug mode to view detailed process information.
• Protocol Understanding:
  • The video explains the JSON-RPC 2.0 specification and message lifecycle.
  • Initialization involves exchanging capabilities between client and server.
  • Operations phase includes sending protocol messages like pings.
  • Disconnection is achieved by closing the connection.

URLs and Commands

• GitHub Repository: github.com/cruk/mCP-D-CLI
• Model Context Protocol Quick Start: No URL provided in the transcript.
• Commands:
  • uvicorn main:app --reload to run the application.
  • ping, list tables, describe table, read query for CLI interactions.
  • uvicorn mCP server sqlite --db-path test.db to run the SQLite server (example command, exact command not provided in the transcript).

Additional Notes

• The video does not provide complete exact URLs for the MCP quick start or other resources.
• The transcript does not include any self-promotion from the author.