MCP server that provides tools and resources for interacting with n8n API
What is n8n-mcp-server
n8n MCP Server
A Model Context Protocol (MCP) server that allows AI assistants to interact with n8n workflows through natural language.
Overview
This MCP server provides tools and resources for AI assistants to manage n8n workflows and executions. It allows assistants to:
- List, create, update, and delete workflows
- Activate and deactivate workflows
- Execute workflows and monitor their status
- Access workflow information and execution statistics
Installation
Prerequisites
- Node.js 18 or later
- n8n instance with API access enabled
Install from npm
npm install -g n8n-mcp-server
Install from source
# Clone the repository
git clone https://github.com/leonardsellem/n8n-mcp-server.git
cd n8n-mcp-server
# Install dependencies
npm install
# Build the project
npm run build
# Optional: Install globally
npm install -g .
Docker Installation
You can also run the server using Docker:
# Pull the image
docker pull leonardsellem/n8n-mcp-server
# Run the container with your n8n API configuration
docker run -e N8N_API_URL=http://your-n8n:5678/api/v1 \
-e N8N_API_KEY=your_n8n_api_key \
-e N8N_WEBHOOK_USERNAME=username \
-e N8N_WEBHOOK_PASSWORD=password \
leonardsellem/n8n-mcp-server
Configuration
Create a .env
file in the directory where you'll run the server, using .env.example
as a template:
cp .env.example .env
Configure the following environment variables:
Variable | Description | Example |
---|---|---|
N8N_API_URL |
Full URL of the n8n API, including /api/v1 |
http://localhost:5678/api/v1 |
N8N_API_KEY |
API key for authenticating with n8n | n8n_api_... |
N8N_WEBHOOK_USERNAME |
Username for webhook authentication (if using webhooks) | username |
N8N_WEBHOOK_PASSWORD |
Password for webhook authentication | password |
DEBUG |
Enable debug logging (optional) | true or false |
Generating an n8n API Key
- Open your n8n instance in a browser
- Go to Settings > API > API Keys
- Create a new API key with appropriate permissions
- Copy the key to your
.env
file
Usage
Running the Server
From the installation directory:
n8n-mcp-server
Or if installed globally:
n8n-mcp-server
Integrating with AI Assistants
After building the server (npm run build
), you need to configure your AI assistant (like VS Code with the Claude extension or the Claude Desktop app) to run it. This typically involves editing a JSON configuration file.
Example Configuration (e.g., in VS Code settings.json
or Claude Desktop claude_desktop_config.json
):
{
"mcpServers": {
// Give your server a unique name
"n8n-local": {
// Use 'node' to execute the built JavaScript file
"command": "node",
// Provide the *absolute path* to the built index.js file
"args": [
"/path/to/your/cloned/n8n-mcp-server/build/index.js"
// On Windows, use double backslashes:
// "C:\\path\\to\\your\\cloned\\n8n-mcp-server\\build\\index.js"
],
// Environment variables needed by the server
"env": {
"N8N_API_URL": "http://your-n8n-instance:5678/api/v1", // Replace with your n8n URL
"N8N_API_KEY": "YOUR_N8N_API_KEY", // Replace with your key
// Add webhook credentials only if you plan to use webhook tools
// "N8N_WEBHOOK_USERNAME": "your_webhook_user",
// "N8N_WEBHOOK_PASSWORD": "your_webhook_password"
},
// Ensure the server is enabled
"disabled": false,
// Default autoApprove settings
"autoApprove": []
}
// ... other servers might be configured here
}
}
Key Points:
- Replace
/path/to/your/cloned/n8n-mcp-server/
with the actual absolute path where you cloned and built the repository. - Use the correct path separator for your operating system (forward slashes
/
for macOS/Linux, double backslashes\\
for Windows). - Ensure you provide the correct
N8N_API_URL
(including/api/v1
) andN8N_API_KEY
. - The server needs to be built (
npm run build
) before the assistant can run thebuild/index.js
file.
Available Tools
The server provides the following tools:
Using Webhooks
This MCP server supports executing workflows through n8n webhooks. To use this functionality:
- Create a webhook-triggered workflow in n8n.
- Set up Basic Authentication on your webhook node.
- Use the
run_webhook
tool to trigger the workflow, passing just the workflow name.
Example:
const result = await useRunWebhook({
workflowName: "hello-world", // Will call <n8n-url>/webhook/hello-world
data: {
prompt: "Hello from AI assistant!"
}
});
The webhook authentication is handled automatically using the N8N_WEBHOOK_USERNAME
and N8N_WEBHOOK_PASSWORD
environment variables.
Workflow Management
workflow_list
: List all workflowsworkflow_get
: Get details of a specific workflowworkflow_create
: Create a new workflowworkflow_update
: Update an existing workflowworkflow_delete
: Delete a workflowworkflow_activate
: Activate a workflowworkflow_deactivate
: Deactivate a workflow
Execution Management
execution_run
: Execute a workflow via the APIrun_webhook
: Execute a workflow via a webhookexecution_get
: Get details of a specific executionexecution_list
: List executions for a workflowexecution_stop
: Stop a running execution
Resources
The server provides the following resources:
n8n://workflows/list
: List of all workflowsn8n://workflow/{id}
: Details of a specific workflown8n://executions/{workflowId}
: List of executions for a workflown8n://execution/{id}
: Details of a specific execution
Development
Building
npm run build
Running in Development Mode
npm run dev
Testing
npm test
Linting
npm run lint
License
MIT
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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