Sponsored by Deepsite.site

Proxmox MCP Server

Created By
johnstetter7 months ago
mcp server for interfacing with proxmox
Content

Proxmox MCP Server

This is a Model Context Protocol (MCP) server that interfaces with a Proxmox VE server to provide infrastructure context to LLMs. The server exposes various endpoints that allow LLMs to query information about the Proxmox cluster, nodes, and virtual machines.

Features

  • Get cluster-wide information
  • Query specific node details
  • Get VM information and status
  • List all VMs in the cluster
  • Docker and Docker Compose support for easy deployment
  • Secure credential management through environment variables

Prerequisites

  • Python 3.11 or higher
  • Docker and Docker Compose
  • Access to a Proxmox VE server
  • Proxmox API credentials

Installation

  1. Clone the repository
  2. Copy .env.example to .env and update with your Proxmox credentials:
    cp .env.example .env
    
  3. Update the .env file with your Proxmox credentials:
    PROXMOX_HOST=your_proxmox_host
    PROXMOX_USER=your_proxmox_user@pam
    PROXMOX_PASSWORD=your_proxmox_password
    PROXMOX_VERIFY_SSL=false
    

Running with Docker Compose

  1. Build and start the container:

    docker-compose up --build
    
  2. The server will be available at http://localhost:8008

API Endpoints

The MCP server provides the following context endpoints:

  • get_cluster_info: Returns general information about the Proxmox cluster
  • get_node_info: Returns detailed information about a specific Proxmox node
  • get_vm_info: Returns detailed information about a specific VM
  • list_vms: Returns a list of all VMs in the cluster

Development

To run the server locally for development:

  1. Create a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    
  2. Install dependencies:

    pip install -r requirements.txt
    
  3. Run the server:

    uvicorn src.main:app --reload
    

Contributing

  1. Fork the repository
  2. Create your feature branch:
    git checkout -b feature/my-new-feature
    
  3. Run tests and format code:
    pytest
    black src/ tests/
    flake8 src/ tests/
    
  4. Commit your changes:
    git commit -am 'Add some feature'
    
  5. Push to the branch:
    git push origin feature/my-new-feature
    
  6. Submit a merge request

Development Guidelines

  • Follow PEP 8 style guide
  • Write tests for new features
  • Update documentation when necessary
  • Use type hints
  • Write clear commit messages

License

MIT

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Playwright McpPlaywright MCP server
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Amap Maps高德地图官方 MCP Server
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Tavily Mcp
CursorThe AI Code Editor
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
WindsurfThe new purpose-built IDE to harness magic
ChatWiseThe second fastest AI chatbot™
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Serper MCP ServerA Serper MCP Server
DeepChatYour AI Partner on Desktop
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code