n8n MCP Server
STDIOAI assistants interact with n8n workflows through natural language.
AI assistants interact with n8n workflows through natural language.
A Model Context Protocol (MCP) server that allows AI assistants to interact with n8n workflows through natural language.
This MCP server provides tools and resources for AI assistants to manage n8n workflows and executions. It allows assistants to:
npm install -g n8n-mcp-server
# 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 .
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
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 |
.env
fileFrom the installation directory:
n8n-mcp-server
Or if installed globally:
n8n-mcp-server
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:
/path/to/your/cloned/n8n-mcp-server/
with the actual absolute path where you cloned and built the repository./
for macOS/Linux, double backslashes \\
for Windows).N8N_API_URL
(including /api/v1
) and N8N_API_KEY
.npm run build
) before the assistant can run the build/index.js
file.The server provides the following tools:
This MCP server supports executing workflows through n8n webhooks. To use this functionality:
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_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 workflowexecution_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 executionThe 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 executionnpm run build
npm run dev
npm test
npm run lint
MIT