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Claude MCP Server

@Surfer12

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Surfer12

关于 Claude MCP Server

暂无概览

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

Claude MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Claude MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

1

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.

2

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.

3

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.

4

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.

5

What is the license for Claude MCP Server?

The server itself is licensed under the MIT License, as stated in the project's README.

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