Devil MCP Server
An MCP server that provides programmatic access to devil hosting platform management tools, enabling AI assistants to manage websites, databases, DNS, SSL, email, and more via a secure REST API.
README
Devil MCP Server
A Model Context Protocol (MCP) server that provides programmatic access to devil hosting platform management tools through a secure REST API interface.
Description
Devil MCP Server is a comprehensive solution that bridges the gap between AI assistants and devil hosting platform management. It consists of two main components:
- Devil API: A FastAPI-based REST API that communicates with the devil command-line tool via UNIX domain sockets
- Devil MCP Server: An MCP server wrapper that exposes the Devil API functionality to AI assistants and other MCP-compatible clients
This allows AI assistants to manage hosting services including websites, databases, DNS records, SSL certificates, email accounts, and more through a standardized protocol.
Installation
Prerequisites:
- Python 3.11+
- A devil service available via UNIX domain socket at /var/run/devil2.sock (running on the same host)
- A valid API key to configure in your environment
-
Clone the repository
git clone --recurse-submodules https://github.com/devil-imps/devil-mcp.git cd devil-mcp -
Installation
a) Using UV (recommended)
Unfortunately, currently there is no UV installed on devil servers, you can use Lilith: Devil's Package Manager to install UV.
uv syncb) Using PIP editable install
# Create and activate a virtual environment virtualenv .venv source .venv/bin/activate # Install dependencies pip install -e src/devil_api pip install -e . -
Set up environment variables:
cp .env.example .envEdit
.envand configure your settings:# Required API KEY, put here something strong DEVIL_API_KEY=your_devil_api_key_here # Devil MCP Server Configuration DEVIL_MCP_HOST=0.0.0.0 # Change port number to your reserved port, use `devil port add tcp random devil-mcp` to reserve random one DEVIL_MCP_PORT=8000 # Optional configurations READ_ONLY_MODE=false RATE_LIMIT_ENABLED=false RATE_LIMIT_MAX_REQUESTS=60 RATE_LIMIT_WINDOW_MINUTES=1 # Logging LOG_LEVEL=INFO
Usage
Starting the Server
Using UV:
# Installed script
uv run devil-mcp
# Or standalone script
uv run python run_server.py
Using virtualenv:
# Activate a virtual environment
source .venv/bin/activate
# Installed script
devil-mcp
# Or standalone script
python run_server.py
Configuration Options
The server can be configured through environment variables:
# Server Configuration
export DEVIL_MCP_HOST="0.0.0.0" # Bind to all interfaces
export DEVIL_MCP_PORT="8080" # Custom port
export DEVIL_API_KEY="your-api-key" # Required API key
# Security Options
export READ_ONLY_MODE="true" # Enable read-only mode
export RATE_LIMIT_ENABLED="true" # Enable rate limiting
export RATE_LIMIT_MAX_REQUESTS="100" # Max requests per window
export RATE_LIMIT_WINDOW_MINUTES="5" # Rate limit window
# Logging
export LOG_LEVEL="DEBUG" # Set log level
Connecting to AI Assistants & IDEs
The Devil MCP Server can be integrated with various AI assistants and development environments that support the Model Context Protocol (MCP).
Visual Studio Code
Using the MCP Extension
- Install the MCP extension in VS Code
- Configure the server in your VS Code settings or MCP configuration file:
{
"servers": {
"devil-mcp": {
"type": "http",
"url": "http://domain.tld:8000/mcp",
"headers": {
"Authorization": "Bearer your_devil_api_key_here"
}
}
}
}
Claude Desktop
Web-based AI Assistants
For web-based AI assistants that support HTTP MCP connections:
{
"mcp_servers": [
{
"name": "devil-mcp",
"type": "http",
"url": "http://domain.tld:8000/mcp",
"auth": {
"type": "bearer",
"token": "your_devil_api_key_here"
}
}
]
}
Contributing
Contributions, issues, and feature requests are welcome! Feel free to check the issues page or submit a pull request.
License
This project is licensed under the GNU AFFERO GENERAL PUBLIC LICENSE License. See the LICENSE file for details.
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