Claude MCP Server

Name: Claude MCP Server
Author: Surfer12

@Surfer12

Repository

About Claude MCP Server

No overview available yet

#claude-mcp-server #ai-tools #mcp-compliance

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "claude-mcp-server-two": {
      "command": "docker",
      "args": [
        "exec",
        "-it",
        "claude-mcp-server",
        "/bin/bash"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Claude MCP Server?

Claude MCP Server is an implementation of the Model Context Protocol (MCP) that provides a standardized way to integrate AI tools and models. It supports multiple AI providers (OpenAI, Anthropic, and Google) and offers built-in tools for code analysis, web interaction, and more. It is intended for developers building MCP-compliant applications.

How to use Claude MCP Server?

Clone the repository, create a .env file with API keys for OpenAI, Anthropic, and Google, and set the default provider. Run the Node.js server with npm run dev or npm start, or use Docker for production. The Python server is also available but less maintained. Interact with the server via MCP-compliant clients using JSON-RPC 2.0.

Key features of Claude MCP Server

MCP-compliance for seamless tool integration with clients.
Multi-provider support: OpenAI, Anthropic, and Google Gemini.
Built-in tools for code generation, analysis, web scraping, and more.
Both Node.js and Python (FastAPI) server implementations.
Docker support for easy deployment and development.
Comprehensive testing with Jest and pytest, plus linting and formatting.

Use cases of Claude MCP Server

Integrating AI-powered code analysis and generation into MCP-compatible workflows.
Building custom chatbots or assistants that can execute web requests and scrape data.
Creating a unified backend for AI tools that can switch between different LLM providers.
Developing and testing MCP-compliant applications in a containerized environment.

FAQ from Claude MCP Server

What AI providers does Claude MCP Server support?

It supports OpenAI, Anthropic (Claude), and Google (Gemini). The default provider is configured via the DEFAULT_AI_PROVIDER environment variable.

What are the runtime requirements?

Node.js for the primary server, Python 3 with FastAPI for the alternative server. API keys for each provider are required.

How do I run the server in production?

Use Docker: build the image with npm run docker:build and run with npm run docker:run. This starts the Node.js server on port 3000 without hot reloading.

Can I add custom tools?

Yes, the framework is extensible. Tools are defined in src/tools/ (JavaScript) and src/core/mcp_tools.py (Python). Refer to howTO.md for details.