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Claude MCP Server

by Surfer12

This project implements a server adhering to the Model Context Protocol (MCP), providing a standardized way to integrate AI tools and models. It supports multiple AI providers and offers a range of built-in tools.

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What is Claude MCP Server?

The Claude MCP Server is an implementation of the Model Context Protocol (MCP), designed to provide a standardized interface for integrating AI tools and models from various providers like OpenAI, Anthropic, and Google. It offers a framework for managing and utilizing these tools through a unified protocol.

How to use Claude MCP Server?

To use the server, clone the repository, configure API keys in the .env file, and choose either the Node.js or Python server implementation. The Node.js server is recommended and can be run using npm run dev or npm start. Docker is also supported for easy deployment. Interact with the server using MCP-compliant clients via JSON-RPC 2.0, invoking the available tools with their defined parameters.

Key features of Claude MCP Server

  • MCP Compliance

  • Multi-Provider Support (OpenAI, Anthropic, Google)

  • Extensible Tooling Framework

  • Node.js and Python Server Implementations

  • Docker Containerization

  • Comprehensive Testing (Jest, pytest)

Use cases of Claude MCP Server

  • Integrating AI tools into existing applications

  • Standardizing access to different AI models

  • Automating code analysis and documentation tasks

  • Building AI-powered workflows with web interaction capabilities

FAQ from Claude MCP Server

What is MCP?

MCP stands for Model Context Protocol, a standardized way to integrate AI tools and models.

Which AI providers are supported?

The server supports OpenAI, Anthropic, and Google's Gemini models.

How do I configure API keys?

API keys are configured via environment variables in the .env file.

Which server implementation should I use?

The Node.js server is the primary and recommended implementation.

How do I run the server in a container?

Use Docker with the provided docker-compose.yaml file. See the README for specific commands.