databasesproductivity

Dokploy

andradehenrique

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

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

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

FAQ

What is the Dokploy MCP server?
Dokploy is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Dokploy?
This profile displays 38 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

Maintain data integrity with less manual SQL work

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor with MCP support
  • Database credentials (read-only recommended for safety)
  • Network access from Claude client to database
  • Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • Connection refused: Check database is running and network accessible
  • Authentication failed: Verify credentials, check user permissions
  • Claude can't see tables: Grant appropriate read permissions to database user
  • Slow queries: Add indexes, limit result set size, use read replicas
  • MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • Don't use production write credentials—risk of data corruption
  • Don't query production database during peak traffic hours
  • Don't expose sensitive PII without proper access controls
  • Don't skip query result validation—AI can misinterpret schema
  • Don't allow unlimited result set sizes—set LIMIT clauses
  • Don't share database credentials in plain text config files

💡 Pro Tips

  • Create database views for common queries to simplify AI access
  • Add schema comments/descriptions so AI understands column meanings
  • Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • Set up query logging to audit what Claude is querying
  • Create saved query templates for recurring analysis
  • Combine with data visualization tools for better insights

Technical Details

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration

  • Read replica connection for analytics queries
  • Database view layer to abstract complex joins
  • Query result caching for repeated questions
  • Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.838 reviews
  • Jin Park· Dec 16, 2024

    According to our notes, Dokploy benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Dec 12, 2024

    We wired Dokploy into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Alexander Khan· Nov 7, 2024

    Dokploy has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ira Perez· Oct 26, 2024

    Dokploy is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Amelia Torres· Sep 25, 2024

    Strong directory entry: Dokploy surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Ishan Dixit· Sep 17, 2024

    We wired Dokploy into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Sep 9, 2024

    Strong directory entry: Dokploy surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Charlotte Abebe· Sep 1, 2024

    Dokploy has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Dhruvi Jain· Aug 28, 2024

    Useful MCP listing: Dokploy is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Alexander Bansal· Aug 20, 2024

    Dokploy is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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