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Claude MCP Server Collection

@syedazharmbnr1

Repository

About Claude MCP Server Collection

MCP Server implementation for Claude

Basic information

Category

AI & Agents

Runtime

python

Transports

stdio

Publisher

syedazharmbnr1

Config

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

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

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 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

FAQ from Claude MCP Server Collection

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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