mcp-server-example
This project is an educational implementation of a Model Context Protocol (MCP) server designed to show how to integrate with various LLM clients. It highlights the benefits of MCP in providing standardized connections between AI models and data sources.
What is the purpose of the MCP server?
The MCP server standardizes the way applications provide context to LLMs, acting as a universal connector for AI models to interface with various data sources and tools.
What are the system requirements for running an MCP server?
The system requires Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the 'uv' package manager.
How can I troubleshoot if my server isn't being picked up by Claude Desktop?
Check the configuration file path and permissions, verify the absolute path in the configuration, ensure 'uv' is properly installed, and check Claude Desktop logs for errors.
What are the main capabilities provided by MCP servers?
MCP servers provide resources, tools, and prompts to enhance the functionality of LLMs.
How do I start the MCP server?
You can start the MCP server by running the command 'uv run main.py' in your terminal.