What is Dokploy?
Dokploy is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to lists all projects in dokploy with optimized response size suitable for llm consumption. returns summary data including project info, service counts, and basic service details.
Lists all projects in Dokploy with optimized response size suitable for LLM consumption. Returns summary data including project info, service counts, and basic service details.
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- project-all
- project-create
- project-duplicate
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @ahdev/dokploy-mcpManual Installation
npx -y @ahdev/dokploy-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Dokploy
What is Dokploy?
Dokploy is a Model Context Protocol (MCP) server that lists all projects in dokploy with optimized response size suitable for llm consumption. returns summary data including project info, service counts, and basic service details. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Dokploy?
Install via npm with the command: npx -y @ahdev/dokploy-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Dokploy?
Dokploy works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Dokploy free to use?
Yes, Dokploy is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Dokploy in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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