Specialized MCP server for n8n workflow monitoring with KPI analysis. Supports Cloudflare Workers and local Claude Desktop integration.
n8n Monitoring MCP Server
Specialized MCP server for n8n workflow monitoring with KPI analysis
Provides Claude AI assistants with 3 focused monitoring tools for n8n workflow execution analysis. Deployed on Cloudflare Workers for global edge performance.
Features
-
3 Monitoring Tools:
n8n_get_active_workflows- List all active workflowsn8n_get_workflow_executions- Get execution history with comprehensive KPI analysisn8n_get_execution_details- Get detailed failure information with error messages
-
Multi-tenant Support: Use different n8n instances via request headers (
X-N8N-URL,X-N8N-API-KEY) -
Comprehensive KPI Analysis:
- Execution summary (total, success, failed, failure rate)
- Execution modes distribution (manual, trigger, webhook, etc.)
- Per-workflow metrics and failure rates
- Timing analysis (avg/max/min execution time)
- Recent failure analysis
- Automated alerts for high failure rates
-
Rate Limiting: 100 requests/minute per tenant
-
Serverless & Global: Deployed on Cloudflare Workers for low latency worldwide
Quick Start
Prerequisites
- Node.js 18+ and npm
- Cloudflare account (free tier works)
- n8n instance with API access
- n8n API key (create one)
Installation
# Clone repository
git clone https://github.com/YOUR_USERNAME/n8n-monitoring-mcp.git
cd n8n-monitoring-mcp
# Install dependencies
npm install
# Login to Cloudflare
npx wrangler login
Local Development
# Start local dev server
npm run dev
# Test with curl
curl -X POST http://localhost:8787 \
-H "Content-Type: application/json" \
-H "X-N8N-URL: https://your-n8n-instance.com" \
-H "X-N8N-API-KEY: your_api_key" \
-d '{"method":"tools/list"}'
Deploy to Cloudflare Workers
# Deploy to production
npm run deploy
# Get your Worker URL
# https://n8n-monitoring-mcp.YOUR_SUBDOMAIN.workers.dev
Tool Reference
1. n8n_get_active_workflows
List all active workflows in your n8n instance.
Parameters: None
Example Request:
{
"method": "tools/call",
"params": {
"name": "n8n_get_active_workflows",
"arguments": {}
}
}
Example Response:
[
{
"id": "f8exh14YagxEj1To",
"name": "Workflow Execution Audit",
"active": true,
"createdAt": "2025-01-15T10:30:00.000Z",
"updatedAt": "2025-01-20T14:22:00.000Z"
}
]
2. n8n_get_workflow_executions
Get workflow execution history with comprehensive KPI analysis.
Parameters:
limit(number, optional): Maximum executions to retrieve (default: 100)workflowId(string, optional): Filter by specific workflow ID
Example Request:
{
"method": "tools/call",
"params": {
"name": "n8n_get_workflow_executions",
"arguments": {
"limit": 50
}
}
}
Example Response:
{
"executionCount": 50,
"kpis": {
"summary": {
"total": 50,
"success": 42,
"failed": 8,
"waiting": 0,
"running": 0,
"failureRate": 16.0
},
"modes": {
"trigger": 35,
"webhook": 10,
"manual": 5
},
"workflowMetrics": [
{
"workflowId": "abc123",
"workflowName": "Data Sync Workflow",
"total": 25,
"success": 20,
"failed": 5,
"failureRate": 20.0
}
],
"timeMetrics": {
"avgExecutionTime": 3500,
"maxExecutionTime": 12000,
"minExecutionTime": 500
},
"failureAnalysis": {
"recentFailures": [...],
"workflowsWithFailures": ["abc123", "def456"],
"totalFailedWorkflows": 2
},
"alerts": [
"⚡ Moderate failure rate: 16% of executions failed"
]
}
}
3. n8n_get_execution_details
Get detailed information about failed executions, including error messages.
Parameters:
limit(number, optional): Maximum failed executions to retrieve (default: 20)workflowId(string, optional): Filter by specific workflow ID
Example Request:
{
"method": "tools/call",
"params": {
"name": "n8n_get_execution_details",
"arguments": {
"limit": 10,
"workflowId": "abc123"
}
}
}
Example Response:
{
"failedExecutionCount": 5,
"failures": [
{
"executionId": "exec123",
"workflowId": "abc123",
"workflowName": "Data Sync Workflow",
"mode": "trigger",
"startedAt": "2025-01-26T10:30:00.000Z",
"errorMessage": "Connection timeout",
"errorDescription": "Failed to connect to external API after 30 seconds",
"lastNodeExecuted": "HTTP Request"
}
]
}
Claude Desktop Integration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"n8n-monitoring": {
"url": "https://n8n-monitoring-mcp.YOUR_SUBDOMAIN.workers.dev",
"transport": {
"type": "http"
},
"headers": {
"X-N8N-URL": "https://your-n8n-instance.com",
"X-N8N-API-KEY": "your_n8n_api_key"
}
}
}
}
Restart Claude Desktop and try these prompts:
- "List all active n8n workflows"
- "Show me workflow execution KPIs for the last 50 executions"
- "Get details of recent failed workflow executions"
Rate Limiting
- Default: 100 requests per minute per tenant
- Tenant ID: Based on combination of
X-N8N-URLandX-N8N-API-KEY - Response Headers:
X-RateLimit-Remaining: Remaining requests in current windowX-RateLimit-Reset: Seconds until rate limit resets
- Rate Limit Exceeded: HTTP 429 response
Architecture
┌─────────────────────────┐
│ Client (Claude Desktop)│
│ + Request Headers: │
│ X-N8N-URL │
│ X-N8N-API-KEY │
└───────────┬─────────────┘
│
▼
┌─────────────────────────┐
│ Cloudflare Worker │
│ - Rate limiting │
│ - Multi-tenant routing │
│ - KPI processing │
└───────────┬─────────────┘
│
┌───────┴───────┐
▼ ▼
┌─────────┐ ┌─────────┐
│ Tenant 1│ │ Tenant 2│
│ n8n-no1 │ │ n8n-no2 │
└─────────┘ └─────────┘
Development
# Run type checking
npm run typecheck
# View live logs
npm run tail
# Test locally
npm run dev
Key Differences from n8n-mcp-workers
| Aspect | n8n-mcp-workers | n8n-monitoring-mcp | |--------|-----------------|-------------------| | Purpose | General n8n automation | Workflow monitoring | | Tools | 32 tools (full API) | 3 tools (monitoring) | | Logic | Simple API forwarding | Custom KPI processing | | Use Case | Any n8n operation | Claude AI monitoring assistant | | Response | Raw API data | Processed metrics + alerts |
Contributing
Contributions welcome! Please open an issue or PR.
License
MIT License - see LICENSE file
Credits
- Based on n8n-mcp-workers
- Ported from n8n workflow (ID: f8exh14YagxEj1To)
- Built with Model Context Protocol
Support
- Issues: GitHub Issues
- n8n Docs: docs.n8n.io
- MCP Docs: modelcontextprotocol.io