databasesproductivity

Dokploy

by andradehenrique

Dokploy streamlines deployment workflows with AI-driven deployment automation tools, making application deployment autom

Integrates with Dokploy platform API for creating, updating, duplicating, and removing deployment projects, enabling teams to automate deployment workflows through AI interactions.

github stars

17

Project discontinued - moved to official Dokploy organization

best for

  • / DevOps teams automating deployments
  • / Developers managing Dokploy projects via AI
  • / Teams integrating deployment workflows with AI assistants

capabilities

  • / Create deployment projects
  • / Update existing projects
  • / Duplicate project configurations
  • / Remove deployment projects
  • / Manage applications through Dokploy API

what it does

Provides API integration with Dokploy deployment platform to manage deployment projects programmatically through AI interactions.

about

Dokploy is a community-built MCP server published by andradehenrique that provides AI assistants with tools and capabilities via the Model Context Protocol. Dokploy streamlines deployment workflows with AI-driven deployment automation tools, making application deployment autom It is categorized under databases, productivity.

how to install

You can install Dokploy in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Dokploy is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Dokploy MCP Server

⚠️ PROJECT DISCONTINUED

This project has been moved to the official Dokploy organization and will no longer be maintained in this repository.

📍 New official repository: https://github.com/Dokploy/mcp

Please migrate to the official repository to receive the latest updates and ongoing support.


Discontinued New Repository

npm version <img alt="Install in VS Code (npx)" src="https://img.shields.io/badge/VS_Code-VS_Code?style=flat-square&label=Install%20Dokploy%20MCP&color=0098FF">

Dokploy MCP Server exposes Dokploy functionalities as tools consumable via the Model Context Protocol (MCP). It allows MCP-compatible clients (e.g., AI models, other applications) to interact with your Dokploy server programmatically.

🚨 This project is no longer maintained. Please migrate to the official repository immediately.

📖 Migration Guide → | 🔗 Official Repository →

This server focuses exclusively on tools for direct Dokploy API operations, providing a clean and efficient interface for project and application management.

🛠️ Getting Started

Requirements

  • Node.js >= v18.0.0 (or Docker)
  • Cursor, VS Code, Claude Desktop, or another MCP Client
  • A running Dokploy server instance

Install in Cursor

Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server

Add this to your Cursor ~/.cursor/mcp.json file. You may also install in a specific project by creating .cursor/mcp.json in your project folder. See Cursor MCP docs for more info.

{
  "mcpServers": {
    "dokploy-mcp": {
      "command": "npx",
      "args": ["-y", "@ahdev/dokploy-mcp"],
      "env": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}
<details> <summary>Alternative: Use Bun</summary>
{
  "mcpServers": {
    "dokploy-mcp": {
      "command": "bunx",
      "args": ["-y", "@ahdev/dokploy-mcp"],
      "env": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}
</details> <details> <summary>Alternative: Use Deno</summary>
{
  "mcpServers": {
    "dokploy-mcp": {
      "command": "deno",
      "args": ["run", "--allow-env", "--allow-net", "npm:@ahdev/dokploy-mcp"],
      "env": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}
</details>

Install in Windsurf

Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.

{
  "mcpServers": {
    "dokploy-mcp": {
      "command": "npx",
      "args": ["-y", "@ahdev/dokploy-mcp"],
      "env": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}

Install in VS Code

<img alt="Install in VS Code (npx)" src="https://img.shields.io/badge/VS_Code-VS_Code?style=flat-square&label=Install%20Dokploy%20MCP&color=0098FF"> <img alt="Install in VS Code Insiders (npx)" src="https://img.shields.io/badge/VS_Code_Insiders-VS_Code_Insiders?style=flat-square&label=Install%20Dokploy%20MCP&color=24bfa5">

Add this to your VS Code MCP config file. See VS Code MCP docs for more info.

{
  "servers": {
    "dokploy-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@ahdev/dokploy-mcp"],
      "env": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}

Install in Zed

Add this to your Zed settings.json. See Zed Context Server docs for more info.

{
  "context_servers": {
    "dokploy-mcp": {
      "command": {
        "path": "npx",
        "args": ["-y", "@ahdev/dokploy-mcp"]
      },
      "settings": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}

Install in Claude Desktop

Add this to your Claude Desktop claude_desktop_config.json file. See Claude Desktop MCP docs for more info.

{
  "mcpServers": {
    "dokploy-mcp": {
      "command": "npx",
      "args": ["-y", "@ahdev/dokploy-mcp"],
      "env": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}

Install in BoltAI

Open the "Settings" page of the app, navigate to "Plugins," and enter the following JSON:

{
  "mcpServers": {
    "dokploy-mcp": {
      "command": "npx",
      "args": ["-y", "@ahdev/dokploy-mcp"],
      "env": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}

Using Docker

The Docker container supports both stdio and HTTP transport modes, making it flexible for different deployment scenarios.

  1. Build the Docker Image:

    git clone https://github.com/andradehenrique/dokploy-mcp.git
    cd dokploy-mcp
    docker build -t dokploy-mcp .
    
  2. Manual Docker Commands:

    Stdio Mode (for MCP clients):

    docker run -it --rm \
      -e DOKPLOY_URL=https://your-dokploy-server.com/api \
      -e DOKPLOY_API_KEY=your_token_here \
      dokploy-mcp
    

    HTTP Mode (for web applications):

    docker run -it --rm \
      -p 3000:3000 \
      -e MCP_TRANSPORT=http \
      -e DOKPLOY_URL=https://your-dokploy-server.com/api \
      -e DOKPLOY_API_KEY=your_token_here \
      dokploy-mcp
    
  3. Docker Compose:

    Use the provided docker-compose.yml for production deployments:

    # Start HTTP service
    docker-compose up -d dokploy-mcp-http
    
    # View logs
    docker-compose logs -f dokploy-mcp-http
    
  4. MCP Client Configuration:

    For stdio mode (Claude Desktop, VS Code, etc.):

    {
      "mcpServers": {
        "dokploy-mcp": {
          "command": "docker",
          "args": [
            "run",
            "-i",
            "--rm",
            "-e",
            "DOKPLOY_URL=https://your-dokploy-server.com/api",
            "-e",
            "DOKPLOY_API_KEY=your_token_here",
            "dokploy-mcp"
          ]
        }
      }
    }
    

    For HTTP mode (web applications):

    Start the HTTP server first, then configure your client to connect to http://localhost:3000/mcp.

Install in Windows

The configuration on Windows is slightly different compared to Linux or macOS. Use cmd as the command wrapper:

{
  "mcpServers": {
    "dokploy-mcp": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@ahdev/dokploy-mcp"],
      "env": {
        "DOKPLOY_URL": "https://your-dokploy-server.com/api",
        "DOKPLOY_API_KEY": "your-dokploy-api-token"
      }
    }
  }
}

Environment Variables

  • DOKPLOY_URL: Your Dokploy server API URL (required)
  • DOKPLOY_API_KEY: Your Dokploy API authentication token (required)

🚀 Transport Modes

This MCP server supports multiple transport modes to suit different use cases:

Stdio Mode (Default)

The default mode uses stdio for direct process communication, ideal for desktop applications and command-line usage.

# Run with stdio (default)
npx -y @ahdev/dokploy-mcp
# or
npm run start:stdio

HTTP Mode (Streamable HTTP + Legacy SSE)

Modern HTTP mode exposes the server via HTTP/HTTPS supporting both modern and legacy protocols for maximum compatibility:

  • Streamable HTTP (MCP 2025-03-26) - Modern protocol with session management
  • Legacy SSE (MCP 2024-11-05) - Backwards compatibility for older clients
# Run with HTTP mode
npm run start:http
# or
npx -y @ahdev/dokploy-mcp --http
# or via environment variable
MCP_TRANSPORT=http npx -y @ahdev/dokploy-mcp

Modern Streamable HTTP Endpoints:

  • POST /mcp - Client-to-server requests
  • GET /mcp - Server-to-client notifications
  • DELETE /mcp - Session termination
  • GET /health - Health check endpoint

Legacy SSE Endpoints (Backwards Compatibility):

  • GET /sse - SSE stream initialization
  • POST /messages - Client message posting

Configuration:

  • Default port: 3000 (override with PORT=8080)
  • Supports both modern Streamable HTTP (MCP 2025-03-26) and legacy SSE (MCP 2024-11-05)
  • Session management with automatic cleanup for both transport types

Client Compatibility:

Modern clients automatically use the Streamable HTTP endpoints, while legacy clients can connect using the SSE endpoints. The server handles both protocols simultaneously, ensuring compatibility with:

  • **Mode