@bravos2k5/mcp
v0.29.1
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MCP Server for Dokploy API
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Dokploy MCP Server
Dokploy MCP Server exposes all Dokploy API endpoints 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.
With 508 tools across 49 categories, this server provides complete coverage of the Dokploy API — from project and application management to databases, notifications, SSO, Docker, backups, and more.
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", "@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"DOKPLOY_API_KEY": "your-dokploy-api-token"
}
}
}
}{
"mcpServers": {
"dokploy-mcp": {
"command": "bunx",
"args": ["-y", "@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"DOKPLOY_API_KEY": "your-dokploy-api-token"
}
}
}
}{
"mcpServers": {
"dokploy-mcp": {
"command": "deno",
"args": ["run", "--allow-env", "--allow-net", "npm:@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"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.
{
"mcpServers": {
"dokploy-mcp": {
"command": "npx",
"args": ["-y", "@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"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.
{
"servers": {
"dokploy-mcp": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"DOKPLOY_API_KEY": "your-dokploy-api-token"
}
}
}
}Install in Claude Code
Add the MCP server to Claude Code using the CLI:
claude mcp add dokploy-mcp -- npx -y @dokploy/mcpThen set the environment variables in your .claude/settings.json or pass them inline:
DOKPLOY_URL=https://your-dokploy-server.com DOKPLOY_API_KEY=your-token claudeInstall in Zed
Add this to your Zed settings.json. See Zed Context Server docs for more info.
{
"context_servers": {
"dokploy-mcp": {
"command": "npx",
"args": ["-y", "@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"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", "@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"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", "@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"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/Dokploy/mcp.git cd 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 \ -e DOKPLOY_API_KEY=your_token_here \ dokploy-mcpHTTP Mode (for web applications):
docker run -it --rm \ -p 8080:3000 \ -e MCP_TRANSPORT=http \ -e DOKPLOY_URL=https://your-dokploy-server.com \ -e DOKPLOY_API_KEY=your_token_here \ dokploy-mcpDocker 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-httpMCP 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", "-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", "@dokploy/mcp"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"DOKPLOY_API_KEY": "your-dokploy-api-token"
}
}
}
}Environment Variables
| Variable | Required | Description |
|----------|----------|-------------|
| DOKPLOY_URL | Yes | Your Dokploy server URL (e.g., https://your-dokploy-server.com) |
| DOKPLOY_API_KEY | Yes | Your Dokploy API authentication token |
| DOKPLOY_ENABLED_TAGS | No | Comma-separated list of tags to filter which tools are loaded (e.g., project,application,postgres) |
| DOKPLOY_TIMEOUT | No | Request timeout in milliseconds (default: 30000) |
| DOKPLOY_RETRY_ATTEMPTS | No | Number of retry attempts (default: 3) |
| DOKPLOY_RETRY_DELAY | No | Delay between retries in milliseconds (default: 1000) |
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 @dokploy/mcpHTTP 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
npx -y @dokploy/mcp --http
# or via environment variable
MCP_TRANSPORT=http npx -y @dokploy/mcpModern Streamable HTTP Endpoints:
| Endpoint | Method | Description |
|----------|--------|-------------|
| /mcp | POST | Client-to-server requests |
| /mcp | GET | Server-to-client notifications (SSE) |
| /mcp | DELETE | Session termination |
| /health | GET | Health check |
Legacy SSE Endpoints (Backwards Compatibility):
| Endpoint | Method | Description |
|----------|--------|-------------|
| /sse | GET | SSE stream initialization |
| /messages | POST | Client message posting |
Available Tools (508)
This MCP server provides 508 tools covering the entire Dokploy API, organized into 49 categories:
Core Resources
| Category | Tools | Description | |----------|-------|-------------| | Project | 8 | Create, list, update, duplicate, search, and delete projects | | Application | 30 | Full application lifecycle — create, deploy, redeploy, start, stop, build types, git providers (GitHub, GitLab, Bitbucket, Gitea), environment, Traefik config | | Compose | 29 | Docker Compose management — create, deploy, templates, services, environment, isolated deployments | | Domain | 9 | Domain CRUD, DNS validation, Traefik.me generation | | Environment | 7 | Multi-environment support per project | | Deployment | 8 | Deployment history, queue management, centralized view |
Databases
| Category | Tools | Description | |----------|-------|-------------| | PostgreSQL | 15 | Full lifecycle — create, deploy, start, stop, rebuild, passwords, external ports, environment | | MySQL | 15 | Full lifecycle — create, deploy, start, stop, rebuild, passwords, external ports, environment | | MariaDB | 15 | Full lifecycle — create, deploy, start, stop, rebuild, passwords, external ports, environment | | MongoDB | 15 | Full lifecycle — create, deploy, start, stop, rebuild, passwords, external ports, environment | | Redis | 15 | Full lifecycle — create, deploy, start, stop, rebuild, passwords, external ports, environment | | LibSQL | 13 | Full lifecycle — create, deploy, start, stop, rebuild, external ports, environment |
Infrastructure
| Category | Tools | Description | |----------|-------|-------------| | Server | 17 | Multi-server management, metrics, security, monitoring setup | | Docker | 9 | Container management — list, restart, remove, upload files, inspect config | | Cluster / Swarm | 8 | Swarm node management, container stats, cluster operations | | Settings | 51 | Server settings, Traefik config, Docker cleanup, GPU, monitoring, Redis, disk usage | | Registry | 7 | Docker registry management and testing |
Security & Auth
| Category | Tools | Description | |----------|-------|-------------| | SSO | 10 | Single sign-on providers, trusted origins | | SSH Keys | 7 | SSH key management — create, generate, list, update, remove | | Certificates | 5 | SSL/TLS certificate management | | Security | 4 | Basic auth and security rules per application | | Custom Roles | 6 | Role-based access control with custom permissions | | User | 23 | User management, permissions, API keys, invitations, metrics | | Organization | 11 | Multi-org support, invitations, member roles |
Operations
| Category | Tools | Description | |----------|-------|-------------| | Backup | 12 | Database backups — Postgres, MySQL, MariaDB, MongoDB, LibSQL, Compose, WebServer | | Volume Backups | 6 | Volume-level backup scheduling and management | | Destination | 6 | S3-compatible backup destinations (AWS, Cloudflare R2, etc.) | | Schedule | 6 | Scheduled tasks — cron-based automation | | Notification | 41 | Multi-channel alerts — Slack, Discord, Telegram, Email, Teams, Gotify, Ntfy, Pushover, Lark, Mattermost, Resend, Custom webhooks | | Rollback | 2 | Application rollback management |
Other
| Category | Tools | Description | |----------|-------|-------------| | AI | 9 | AI-powered suggestions, model management | | Git Providers | 27 | GitHub, GitLab, Gitea, Bitbucket — branches, repos, connection testing | | Tag | 8 | Project tagging and bulk assignment | | Patch | 12 | File patching system for applications | | Mounts | 6 | Volume and bind mount management | | Port | 4 | Port mapping configuration | | Redirects | 4 | URL redirect rules | | Preview Deployments | 4 | PR preview deployment management | | Stripe | 7 | Billing and subscription management | | License Key | 6 | Enterprise license management | | Whitelabeling | 4 | Custom branding for enterprise | | Audit Log | 1 | Activity audit trail | | Admin | 1 | Admin-level monitoring setup |
Tool Filtering
You can limit which tools are loaded by setting the DOKPLOY_ENABLED_TAGS environment variable. This is useful when you only need a subset of tools:
# Only load project, application, and postgres tools
DOKPLOY_ENABLED_TAGS=project,application,postgresAll tools include semantic annotations (readOnlyHint, destructiveHint, idempotentHint) to help MCP clients understand their behavior and safety characteristics.
Environment Tool Data Format
The MCP server includes four environment helper tools with a normalized shape for AI agents:
projectEnvironment-getprojectEnvironment-saveserviceEnvironment-getserviceEnvironment-save
*-get tools return both forms:
envMap: object map inKEY -> VALUEformat for reliable agent parsing.envText: reconstructed.envstring format (KEY=VALUEper line).
*-save tools accept env in either format:
- String:
.envtext (KEY=VALUElines) - Object: map (
{ "KEY": "VALUE" })
When a map is provided, the server automatically serializes it to .env text before calling Dokploy API endpoints.
Example request for serviceEnvironment-save (map input):
{
"serviceType": "application",
"serviceId": "app_123",
"env": {
"NODE_ENV": "production",
"PORT": "3000"
}
}Example response payload for serviceEnvironment-get:
{
"serviceType": "application",
"serviceId": "app_123",
"envMap": {
"NODE_ENV": "production",
"PORT": "3000"
},
"envText": "NODE_ENV=production\nPORT=3000"
}Architecture
Built with @modelcontextprotocol/sdk, TypeScript, and Zod for type-safe schema validation:
- 508 Tools covering the entire Dokploy API
- Multiple Transports: Stdio (default) and HTTP (Streamable HTTP + legacy SSE)
- Auto-generated Tools: Tools are generated from the Dokploy OpenAPI spec via
pnpm generate:all - Tool Filtering: Load only the categories you need via
DOKPLOY_ENABLED_TAGS - Robust Error Handling: Centralized API client with interceptors and retry logic
- Type Safety: Full TypeScript with Zod schema validation
- Tool Annotations: Semantic hints for MCP client behavior understanding
Development
Clone the project and install dependencies:
git clone https://github.com/Dokploy/mcp.git
cd mcp
pnpm installBuild:
pnpm buildRegenerate tools from the Dokploy OpenAPI spec:
pnpm generate:allLocal Configuration Example
{
"mcpServers": {
"dokploy-mcp": {
"command": "npx",
"args": ["tsx", "/path/to/mcp/src/index.ts"],
"env": {
"DOKPLOY_URL": "https://your-dokploy-server.com",
"DOKPLOY_API_KEY": "your-dokploy-api-token"
}
}
}
}Testing with MCP Inspector
npx -y @modelcontextprotocol/inspector npx @dokploy/mcpTroubleshooting
MCP Client Errors
Try adding
@latestto the package name.Make sure you are using Node v18 or higher to have native fetch support with
npx.Verify your
DOKPLOY_URLandDOKPLOY_API_KEYenvironment variables are correctly set.If too many tools are loading, use
DOKPLOY_ENABLED_TAGSto filter by category.
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 Apache License.
