Mcp Digitalocean Server

@luc-ioon a year ago

6 MIT

FreeCommunity

AI Systems

Model Context Protocol implementation with DigitalOcean integration

What is Mcp Digitalocean Server

mcp-digitalocean-server is an implementation of the Model Context Protocol that integrates with DigitalOcean for efficient server management.

Use cases

Use cases include automating server management tasks, integrating applications with DigitalOcean services, and developing context-aware applications that leverage the MCP Protocol.

How to use

To use mcp-digitalocean-server, clone the repository, set up your DigitalOcean API token in the .env file, install the required dependencies using pip, and run the server with the provided command.

Key features

Key features include MCP Protocol implementation, integration with DigitalOcean for server management, and a FastAPI-based HTTP server for handling requests.

Where to use

mcp-digitalocean-server can be used in cloud computing environments, particularly for managing DigitalOcean servers and applications that require context-aware interactions.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Mcp Digitalocean Server

mcp-digitalocean-server is an implementation of the Model Context Protocol that integrates with DigitalOcean for efficient server management.

Use cases

Use cases include automating server management tasks, integrating applications with DigitalOcean services, and developing context-aware applications that leverage the MCP Protocol.

How to use

To use mcp-digitalocean-server, clone the repository, set up your DigitalOcean API token in the .env file, install the required dependencies using pip, and run the server with the provided command.

Key features

Key features include MCP Protocol implementation, integration with DigitalOcean for server management, and a FastAPI-based HTTP server for handling requests.

Where to use

mcp-digitalocean-server can be used in cloud computing environments, particularly for managing DigitalOcean servers and applications that require context-aware interactions.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

MCP DigitalOcean Server

A Model Context Protocol implementation that integrates with DigitalOcean for server management.

Setup

Clone this repository
Copy .env.example to .env and 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 token
MCP_SERVER_PORT: Port for the MCP server (default: 8000)
MCP_SERVER_HOST: Host for the MCP server (default: 0.0.0.0)

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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