mcp digitalocean server
Model Context Protocol implementation with DigitalOcean integration
Repository Info
About This Server
Model Context Protocol implementation with DigitalOcean integration
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
MCP DigitalOcean Server
A Model Context Protocol implementation that integrates with DigitalOcean for server management.
Setup
- Clone this repository
- Copy
.env.exampleto.envand fill in your DigitalOcean API token - Install dependencies:
pip install -r requirements.txt - Run the server:
python src/server.py
Features
- MCP Protocol implementation
- DigitalOcean integration for server management
- FastAPI-based HTTP server
Configuration
Configure the following environment variables in your .env file:
DIGITALOCEAN_TOKEN: Your DigitalOcean API tokenMCP_SERVER_PORT: Port for the MCP server (default: 8000)MCP_SERVER_HOST: Host for the MCP server (default: 0.0.0.0)
Quick Start
Clone the repository
git clone https://github.com/luc-io/mcp-digitalocean-serverInstall dependencies
cd mcp-digitalocean-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Recommended MCP Servers
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
Zapier MCP
A Zapier server that provides automation capabilities for various apps.