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Claude MCP Server

@Surfer12

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

Surfer12

Claude MCP Server について

概要はまだありません

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

Claude MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Claude MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

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.

コメント

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