N8N Coolify
This workflow leverages the Community n8n MCP Client and my new Coolify MCP Server to interact with your Coolify infrastructure using MCP (Model Context Protocol).
What is N8N Coolify?
N8N Coolify is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this workflow leverages the community n8n mcp client and my new coolify mcp server to interact with your coolify infrastructure using mcp (model context protocol).
This workflow leverages the Community n8n MCP Client and my new Coolify MCP Server to interact with your Coolify infrastructure using MCP (Model Context Protocol).
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This workflow leverages the Community n8n MCP Client and my
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx n8n-coolify-mcp-toolsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use N8N Coolify
The N8N Coolify MCP Tools package bridges n8n automation workflows with Coolify infrastructure management via the Model Context Protocol, exposing 25 tools covering teams, servers, services, applications, deployments, and private keys. It combines the community n8n MCP Client node with the Coolify MCP Server npm package to let n8n workflows — and AI agents running inside them — manage entire Coolify deployments through structured API calls. DevOps engineers who self-host applications on Coolify and orchestrate automation in n8n can use this setup to trigger deployments, check health status, and manage infrastructure from AI-powered workflow nodes.
Prerequisites
- A running n8n instance (self-hosted or cloud) with community node installation enabled
- A running Coolify instance with API access enabled and an API key generated
- Node.js available in the n8n environment for installing npm packages
- The n8n-nodes-mcp community node installed in your n8n instance
- The coolify-mcp-server npm package installed
Install the Coolify MCP Server npm package
Install the coolify-mcp-server package globally or in your n8n custom nodes directory so n8n can invoke it.
npm install -g coolify-mcp-serverInstall the n8n MCP Client community node
In your n8n instance, go to Settings > Community Nodes and install n8n-nodes-mcp to get the MCP Client node.
# From n8n Settings > Community Nodes
# Package name: n8n-nodes-mcpGenerate a Coolify API token
In your Coolify dashboard, navigate to Keys & Tokens > API Tokens and generate a new token with the permissions your automation requires.
Configure the MCP credentials in n8n
In n8n, create a new credential of type 'MCP' and set the command to 'coolify-mcp-server' with your Coolify instance URL and API token as environment variables.
Import and configure the workflow
Import the workflow JSON from the repository into n8n, connect the MCP Client node to your Coolify MCP credentials, and activate the workflow to start managing Coolify infrastructure through n8n.
N8N Coolify Examples
Client configuration
Configure the Coolify MCP Server as an MCP server entry, providing your Coolify URL and API token as environment variables.
{
"mcpServers": {
"coolify": {
"command": "coolify-mcp-server",
"env": {
"COOLIFY_URL": "https://your-coolify-instance.com",
"COOLIFY_TOKEN": "your-coolify-api-token"
}
}
}
}Prompts to try
Example prompts for managing Coolify infrastructure through the MCP tools.
- "List all servers registered in my Coolify instance"
- "Show me all running applications and their current status"
- "Restart the application named my-api-service"
- "Create a new service of type postgresql on server prod-01"
- "List all recent deployments and show which ones failed"Troubleshooting N8N Coolify
The MCP Client node in n8n cannot connect to the Coolify MCP Server
Verify that coolify-mcp-server is installed globally and accessible in the PATH used by the n8n process. Run 'which coolify-mcp-server' in the terminal where n8n runs. If not found, install it globally with 'npm install -g coolify-mcp-server' and restart n8n.
API calls return 401 Unauthorized from Coolify
Check that COOLIFY_TOKEN is set correctly in the MCP credential environment variables. Tokens can expire or be revoked — generate a new one in Coolify under Keys & Tokens. Also verify COOLIFY_URL uses the correct scheme (https://) and hostname without a trailing slash.
Community node n8n-nodes-mcp is not available in n8n node list after installation
Community nodes require a restart of the n8n process after installation. Restart n8n and look for the MCP Client node in the node selector. If still missing, confirm community nodes are enabled in your n8n instance settings and that the package installed without errors.
Frequently Asked Questions about N8N Coolify
What is N8N Coolify?
N8N Coolify is a Model Context Protocol (MCP) server that this workflow leverages the community n8n mcp client and my new coolify mcp server to interact with your coolify infrastructure using mcp (model context protocol). It connects AI assistants to external tools and data sources through a standardized interface.
How do I install N8N Coolify?
Follow the installation instructions on the N8N Coolify GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with N8N Coolify?
N8N Coolify works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is N8N Coolify free to use?
Yes, N8N Coolify is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
N8N Coolify Alternatives — Similar Business Applications Servers
Looking for alternatives to N8N Coolify? Here are other popular business applications servers you can use with Claude, Cursor, and VS Code.
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Browse More Business Applications MCP Servers
Explore all business applications servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
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