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Forks
225
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Installation
Difficulty
IntermediateEstimated Time
10-20 minutes
Requirements
Node.js 20以上n8n APIアクセスが有効なインスタンスInstallation
Installation
Prerequisites
Node.js: 20 or later
n8n: Instance with API access enabled
Installation Steps
Install from npm
bash
npm install -g @leonardsellem/n8n-mcp-server
Install from source
bash
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
bash
Pull the image
docker pull leonardsellem/n8n-mcp-server
Run the container
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
Troubleshooting
If the server won't start, check the Node.js version and reinstall dependencies.
Configuration
Configuration
Basic Configuration
Environment Variables
You need to set the following environment variables:bash
echo 'export N8N_API_URL=http://your-n8n:5678/api/v1' >> ~/.bashrc
source ~/.bashrc
Configuration Example
Basic Configuration
json
{
"mcpServers": {
"n8n-mcp": {
"command": "node",
"args": ["server.js"],
"env": {
"N8N_API_URL": "http://your-n8n:5678/api/v1",
"N8N_API_KEY": "your_n8n_api_key"
}
}
}
}
Examples
Examples
Basic Usage
Programmatic Usage
javascript
// JavaScript example (Node.js)
const { MCPClient } = require('@modelcontextprotocol/client');
const client = new MCPClient();
await client.connect();
// Execute tool
const result = await client.callTool('toolName', {
parameter1: 'value1',
parameter2: 'value2'
});
console.log(result);
API Integration
python
Python example
import requests
def call_mcp_tool(tool_name, params):
response = requests.post(
'http://localhost:3000/mcp/call',
json={
'tool': tool_name,
'parameters': params
}
)
return response.json()
Usage example
result = call_mcp_tool('analyze', {
'input': 'sample data',
'options': {'format': 'json'}
})
Use Cases
Trigger workflows using natural language commands from AI assistants.
Execute automated data processing tasks within n8n workflows.
Integrate multiple APIs for data retrieval and processing.
Automate the generation of periodic reports using n8n.