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    Dokploy Mcp

    Dokploy MCP Server exposes Dokploy functionalities as tools consumable via the Model Context Protocol (MCP)

    15 stars
    TypeScript
    Updated Oct 16, 2025

    Table of Contents

    • 🛠️ Getting Started
    • Requirements
    • Install in Cursor
    • Install in Windsurf
    • Install in VS Code
    • Install in Zed
    • Install in Claude Desktop
    • Install in BoltAI
    • Using Docker
    • Install in Windows
    • Environment Variables
    • 🚀 Transport Modes
    • Stdio Mode (Default)
    • HTTP Mode (Streamable HTTP + Legacy SSE)
    • 📚 Available Tools
    • 🗂️ Project Management (6 tools)
    • 🚀 Application Management (24 tools)
    • Core Operations
    • Git Provider Integrations
    • Configuration Management
    • 🐘 PostgreSQL Database Management (13 tools)
    • Core Database Operations
    • Available PostgreSQL Tools
    • Tool Annotations
    • 🏗️ Architecture
    • 🔧 Development
    • Local Configuration Example
    • Testing with MCP Inspector
    • Documentation
    • 🔧 Troubleshooting
    • MCP Client Errors
    • 🤝 Contributing
    • 🆘 Support
    • 📄 License

    Table of Contents

    • 🛠️ Getting Started
    • Requirements
    • Install in Cursor
    • Install in Windsurf
    • Install in VS Code
    • Install in Zed
    • Install in Claude Desktop
    • Install in BoltAI
    • Using Docker
    • Install in Windows
    • Environment Variables
    • 🚀 Transport Modes
    • Stdio Mode (Default)
    • HTTP Mode (Streamable HTTP + Legacy SSE)
    • 📚 Available Tools
    • 🗂️ Project Management (6 tools)
    • 🚀 Application Management (24 tools)
    • Core Operations
    • Git Provider Integrations
    • Configuration Management
    • 🐘 PostgreSQL Database Management (13 tools)
    • Core Database Operations
    • Available PostgreSQL Tools
    • Tool Annotations
    • 🏗️ Architecture
    • 🔧 Development
    • Local Configuration Example
    • Testing with MCP Inspector
    • Documentation
    • 🔧 Troubleshooting
    • MCP Client Errors
    • 🤝 Contributing
    • 🆘 Support
    • 📄 License

    Documentation

    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

    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.

    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"
          }
        }
      }
    }

    Alternative: Use Bun

    json
    {
      "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"
          }
        }
      }
    }

    Alternative: Use Deno

    json
    {
      "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"
          }
        }
      }
    }

    Install in Windsurf

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

    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"
          }
        }
      }
    }

    Install in VS Code

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

    json
    {
      "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.

    json
    {
      "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.

    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"
          }
        }
      }
    }

    Install in BoltAI

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

    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:

    bash
    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):

    bash
    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):

    bash
    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:

    bash
    # 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.):

    json
    {
          "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:

    json
    {
      "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.

    bash
    # 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
    bash
    # 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:

    • Modern MCP clients (Claude Desktop, Cline, etc.) → Use /mcp endpoints
    • Legacy MCP clients → Use /sse and /messages endpoints
    • Custom integrations → Choose the appropriate protocol for your needs

    For detailed transport mode documentation and client examples, refer to the configuration examples above.

    📚 Available Tools

    This MCP server provides comprehensive tools for Dokploy project, application, and database management through 43 tools organized into three main categories:

    🗂️ Project Management (6 tools)

    Complete project lifecycle management including creation, updates, duplication, and deletion:

    • **project-all** - List all projects
    • **project-one** - Get project details
    • **project-create** - Create new projects
    • **project-update** - Update project configurations
    • **project-duplicate** - Duplicate projects with selective service copying
    • **project-remove** - Delete projects

    🚀 Application Management (24 tools)

    Comprehensive application lifecycle and configuration management:

    Core Operations

    • CRUD Operations: Create, read, update, delete applications
    • Lifecycle Management: Deploy, redeploy, start, stop, reload applications
    • Utility Operations: Move between projects, clean queues, refresh tokens

    Git Provider Integrations

    Support for multiple Git providers with specific configurations:

    • GitHub Provider - Full GitHub integration with webhooks
    • GitLab Provider - Complete GitLab project integration
    • Bitbucket Provider - Bitbucket repository management
    • Gitea Provider - Self-hosted Gitea integration
    • Git Provider - Custom Git repository support
    • Docker Provider - Direct Docker image deployment

    Configuration Management

    • Build Settings - Configure build types (Dockerfile, Heroku, Nixpacks, etc.)
    • Environment Management - Environment variables and build arguments
    • Monitoring Integration - Application monitoring and metrics
    • Traefik Configuration - Load balancer and reverse proxy settings

    🐘 PostgreSQL Database Management (13 tools)

    Complete PostgreSQL database lifecycle management:

    Core Database Operations

    • CRUD Operations: Create, read, update, remove PostgreSQL databases
    • Lifecycle Management: Deploy, start, stop, reload, rebuild databases
    • Configuration Management: External ports, environment variables, status changes
    • Project Management: Move databases between projects

    Available PostgreSQL Tools

    • **postgres-create** - Create new PostgreSQL databases
    • **postgres-one** - Get database details
    • **postgres-update** - Update database configurations
    • **postgres-remove** - Delete databases
    • **postgres-deploy** - Deploy databases
    • **postgres-start** - Start database instances
    • **postgres-stop** - Stop database instances
    • **postgres-reload** - Reload database configurations
    • **postgres-rebuild** - Rebuild database instances
    • **postgres-move** - Move databases between projects
    • **postgres-changeStatus** - Change database status
    • **postgres-saveExternalPort** - Configure external database ports
    • **postgres-saveEnvironment** - Manage database environment variables

    For detailed information about each tool, including input schemas, required fields, and usage examples, see **TOOLS.md**.

    Tool Annotations

    All tools include semantic annotations to help MCP clients understand their behavior:

    • Read-Only Tools (readOnlyHint: true): Safe operations that only retrieve data
    • Destructive Tools (destructiveHint: true): Operations that modify or delete resources
    • Creation Tools (destructiveHint: false): Operations that create new resources
    • Idempotent Tools (idempotentHint: true): Operations safe to repeat
    • External API Tools (openWorldHint: true): All tools interact with Dokploy API

    🏗️ Architecture

    The Dokploy MCP Server is built using:

    • **@modelcontextprotocol/sdk**: For creating the MCP server and defining tools
    • Node.js & TypeScript: As the underlying runtime and language
    • Stdio Transport: Communicates with MCP clients over standard input/output (stdio)
    • Dokploy API Integration: Direct interaction with Dokploy server's REST API
    • Comprehensive Tool Coverage: Complete implementation of all Dokploy application and project endpoints
    • Robust Error Handling: Centralized HTTP client with retry logic and structured error responses
    • Schema Validation: Full Zod-based input validation matching OpenAPI specifications
    • Tool Annotations: Semantic annotations (readOnlyHint, destructiveHint, etc.) for enhanced MCP client understanding

    The server architecture supports:

    • 43 Tools covering all project, application, and database management operations
    • Multiple Git Providers (GitHub, GitLab, Bitbucket, Gitea, custom Git)
    • Flexible Configuration for builds, deployments, and monitoring
    • Type-Safe Operations with comprehensive TypeScript support

    Each tool includes input validation, API integration, and structured response formatting for consistent MCP client interaction.

    🔧 Development

    Clone the project and install dependencies:

    bash
    git clone https://github.com/andradehenrique/dokploy-mcp.git
    cd dokploy-mcp
    npm install

    Build:

    bash
    npm run build

    Local Configuration Example

    json
    {
      "mcpServers": {
        "dokploy-mcp": {
          "command": "npx",
          "args": ["tsx", "/path/to/dokploy-mcp/src/index.ts"],
          "env": {
            "DOKPLOY_URL": "https://your-dokploy-server.com/api",
            "DOKPLOY_API_KEY": "your-dokploy-api-token"
          }
        }
      }
    }

    Testing with MCP Inspector

    bash
    npx -y @modelcontextprotocol/inspector npx @ahdev/dokploy-mcp

    Documentation

    • **TOOLS.md** - Complete tool reference with schemas and examples
    • **CONTRIBUTING.md** - Contributing guidelines

    🔧 Troubleshooting

    MCP Client Errors

    1. Try adding @latest to the package name.

    2. Make sure you are using Node v18 or higher to have native fetch support with npx.

    3. Verify your DOKPLOY_URL and DOKPLOY_API_KEY environment variables are correctly set.

    🤝 Contributing

    We welcome contributions! If you'd like to contribute to the Dokploy MCP Server, please check out our Contributing Guide.

    🆘 Support

    If you encounter any issues, have questions, or want to suggest a feature, please open an issue in our GitHub repository.

    📄 License

    This project is licensed under the MIT License.

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