Claude MCP Server Collection

@syedazharmbnr1

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

syedazharmbnr1

关于 Claude MCP Server Collection

MCP Server implementation for Claude

Claude MCP Server Collection 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ClaudeMCPServer": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        ".env"
      ]
    }
  }
}

Claude MCP Server Collection 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 Collection?

Claude MCP Server Collection is a set of Model Context Protocol servers that extend Claude’s desktop application with screen capture, computer control, data analysis (DuckDB), HTTP requests (Curl), and FastAPI integration.

How to use Claude MCP Server Collection?

Clone the repository, create a Python virtual environment, install dependencies with pip install -r requirements.txt, then configure and start individual servers (e.g., python mcp_screen_server.py for screen capture, python fastapi/duckdb/main.py for DuckDB). Copy and update claude_desktop_config.json to integrate with the Claude Desktop app.

Key features of Claude MCP Server Collection

Real‑time screen capture with dynamic image compression
Mouse and keyboard automation with screen position tracking
Fast SQL queries on CSV files larger than 1 GB via DuckDB
HTTP request capabilities through a dedicated Curl server
FastAPI integration for data processing and API endpoints

Use cases of Claude MCP Server Collection

Analyze multi‑gigabyte CSV files directly in Claude Desktop
Automate repetitive computer tasks (mouse clicks, keyboard shortcuts)
Capture and process screenshots for visual context in conversations
Make HTTP requests to external APIs from within Claude
Build custom data processing pipelines using FastAPI endpoints

常见问题

What are the prerequisites?

Python 3.8 or higher, Node.js and npm (for the filesystem server), the Claude Desktop application, and Git.

How do I resolve port conflicts?

Default ports are: Screen Server 8767, FastAPI Server 8000, DuckDB Server 8010, and Integration Server 8768. Change them in the startup commands or environment variables.

What should I do if I get permission errors?

Make sure all Python scripts and shell scripts are executable by running `chmod +x *.py` and `chmod +x Curl_Server/*.sh`.

Where can I find error logs?

Each server component writes to its own log file; also check `debug.log` for detailed error messages.

What security precautions are mentioned?

Store GitHub tokens securely, never commit them to the repository, and configure filesystem paths carefully to limit access to necessary directories only.

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