Claude Connect MCP Server

@grapheneaffiliate

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT license

传输方式

stdio

作者

grapheneaffiliate

关于 Claude Connect MCP Server

An MCP-compliant external connector server enabling Claude and other LLMs to interact with web APIs, filesystem, and custom resources

#claude-connect#llm-integration#api-connector

Claude Connect 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-connect": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "claude-connect",
        "."
      ]
    }
  }
}

Claude Connect MCP Server 工具

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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 Connect?

Claude Connect is an MCP-compliant external connector server that enables Large Language Models like Claude to interact with web APIs, filesystem, and custom resources in a standardized way. It is designed for developers and users who want to give LLMs access to web search, file operations, and custom tools. Version 1.1 (March 2025).

How to use Claude Connect?

Install Python 3.10+, create and activate a virtual environment, install dependencies (..\venv\Scripts\pip.exe install -r requirements.txt), rename .env.example to .env and add your API keys (Bing Search API required, Google Search API optional). Run the server in STDIO mode (..\venv\Scripts\python.exe main.py) or HTTP mode (..\venv\Scripts\python.exe main.py --http). Test with ..\venv\Scripts\pytest.exe. For Claude Desktop integration, follow the dedicated guide.

Key features of Claude Connect

Web search integration (Bing required, Google optional)
File operations within a secure sandbox
Custom resources and prompt templates
Multiple transport options (STDIO and HTTP with JWT)
Extensible, modular architecture
Cross‑platform (tested on Windows 10, Python 3.10+)

Use cases of Claude Connect

Allow an LLM to fetch live web search results
Let an LLM read and write files in a sandboxed directory
Expose custom resource types and prompt templates to LLMs
Deploy as a containerized service using Docker
Integrate with Claude Desktop via STDIO for enhanced capabilities

常见问题

What are the runtime requirements for Claude Connect?

Python 3.10 or higher is required. For search functionality, a Bing Search API key is mandatory; a Google Search API key is optional.

How do I run Claude Connect in different modes?

Run in STDIO mode with `..\venv\Scripts\python.exe main.py` or in HTTP mode by adding the `--http` flag. HTTP mode supports optional JWT authentication.

Is there any security for file operations?

Yes. File operations are restricted to a sandbox directory, and the server prevents path traversal attempts to ensure secure access.

Can Claude Connect be deployed using containers?

Yes. A Dockerfile is provided (based on Python 3.11‑slim). Build with `docker build -t claude-connect .` and run with `docker run -p 8000:8000 --env-file=.env claude-connect`.

What transport options are available?

STDIO transport for integration with Claude Desktop and other MCP STDIO clients, and HTTP transport (optional JWT authentication) for development, testing, and web application integration.

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