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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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.
<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🚨 This project is no longer maintained.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.
-
Build the Docker Image:
git clone https://github.com/andradehenrique/dokploy-mcp.git cd dokploy-mcp docker build -t dokploy-mcp . -
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-mcpHTTP 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 -
Docker Compose:
Use the provided
docker-compose.ymlfor production deployments:# Start HTTP service docker-compose up -d dokploy-mcp-http # View logs docker-compose logs -f dokploy-mcp-http -
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 withPORT=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.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 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
4.8★★★★★38 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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