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?
What is MCP?
MCP stands for Model Context Protocol, a standardized way to integrate AI tools and models.
Which AI providers are supported?
Which AI providers are supported?
The server supports OpenAI, Anthropic, and Google's Gemini models.
How do I configure API keys?
How do I configure API keys?
API keys are configured via environment variables in the .env
file.
Which server implementation should I use?
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?
How do I run the server in a container?
Use Docker with the provided docker-compose.yaml
file. See the README for specific commands.