mcp_server_python

mcp_server_python

0
developer_toolsdatabasescommunication

This project is a Model Context Protocol (MCP) server implementation that allows integration with language model clients. It provides features like prebuilt integrations, flexibility across providers, and best practices for data protection.

Example of MCP Server

This repository contains an implementation of a Model Context Protocol (MCP) server. It demonstrates how to build a functional MCP server that can integrate with various language model (LLM) clients.

Key Benefits

  • A growing list of prebuilt integrations for direct use by your LLM.
  • Flexibility to switch between LLM providers and vendors.
  • Best practices for protecting your data within your infrastructure.

Architecture Summary

  • MCP Hosts: Programs like Claude Desktop, IDEs, or AI tools accessing data via MCP.
  • MCP Clients: Protocol clients maintaining 1:1 connections with servers.
  • MCP Servers: Lightweight programs exposing specific capabilities via MCP.
  • Data Sources: Both local (files, databases) and remote services (APIs) accessible by MCP servers.

System Requirements

  • Python 3.10 or higher
  • MCP SDK 1.2.0 or higher
  • Package manager uv

Getting Started

Installing uv Package Manager

  • macOS/Linux: Follow the installation script.
  • Windows: Follow the installation script.

Project Setup

  1. Initialize the project and set up the virtual environment.
  2. Install dependencies.
  3. Create the server deployment file.

Running the Server

  1. Start the MCP server.
  2. The server will be ready to accept connections.

Connecting with Claude Desktop

  1. Install Claude Desktop.
  2. Configure Claude Desktop to use your MCP server.

Troubleshooting

  • Verify configuration file path and permissions.
  • Ensure absolute paths are correct.
  • Confirm uv is installed and accessible.
  • Check Claude Desktop logs for errors.

License

Licensed under the MIT License. See the LICENSE file for details.

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