Mcp Monitoring
A sophisticated Model Context Protocol (MCP) server that provides intelligent monitoring and observability integration. This server enables natural language interactions with Prometheus, AlertManager, and Grafana through chat-style commands, advanced query processing, and comprehensive monitoring automation.
## 🌟 Overview
This MCP server transforms how you interact with monitoring infrastructure by providing:
- **Natural Language Processing**: Ask monitoring questions in plain English
- **Intelligent Query Translation**: Automatically converts questions to PromQL queries
- **Historical Alert Analysis**: Count failures, outages, and incidents over time
- **Multi-Source Integration**: Seamlessly works with Prometheus, AlertManager, and Grafana
- **Automated Incident Detection**: Smart pattern recognition for service failures
## ✨ Key Features
### 🧠 **Natural Language Query Engine**
- **Smart Intent Recognition**: Understands monitoring questions like "How many times did service X fail?"
- **Automatic Time Range Parsing**: Handles phrases like "last 2 weeks", "yesterday", "past month"
- **Service Name Detection**: Recognizes services like opengrok, jenkins, grafana, prometheus
- **Alert Pattern Matching**: Identifies automation failures, service outages, and critical incidents
- **Context-Aware Responses**: Provides detailed breakdowns with incident counts and durations
### 🔍 **Prometheus Integration**
- **Advanced PromQL Generation**: Automatically creates complex queries based on natural language
- **Historical Data Analysis**: Analyzes alert trends and service availability over time
- **Metric Discovery**: Browse and search available metrics with intelligent filtering
- **Range Query Optimization**: Smart step sizing for different time ranges
- **Alert History Tracking**: Tracks firing periods and incident detection
### 🚨 **AlertManager Integration**
- **Real-time Alert Monitoring**: Query active, pending, and resolved alerts
- **Smart Alert Filtering**: Filter by service, severity, alertname, or custom labels
- **Alert Fingerprinting**: Track unique alert instances and their lifecycle
- **Incident Correlation**: Group related alerts and calculate total impact
### 📊 **Grafana Integration** (Optional)
- **Dashboard Discovery**: Find dashboards related to specific services
- **Dynamic Dashboard Links**: Generate direct links to relevant monitoring views
- **Service Context Mapping**: Connect services to their monitoring dashboards
Overview
🛠️ Available Tools
Natural Language Query
// Ask monitoring questions in plain English
mcp_monitoring_natural_language_query({
question: "how many times did jenkins fail in the last week?",
timeRange: "last week" // optional
})
Active Alerts
// Get currently firing alerts
mcp_monitoring_get_active_alerts({
filter: "alertname=cleanup-zuultmp" // optional filter
})
Prometheus Instant Query
// Execute PromQL queries
mcp_monitoring_query_prometheus({
query: "up{job='prometheus'}",
time: "2024-01-15T10:30:00Z" // optional timestamp
})
Prometheus Range Query
// Get historical time series data
mcp_monitoring_query_prometheus_range({
query: "ALERTS{severity='critical'}",
start: "2024-01-01T00:00:00Z",
end: "2024-01-15T00:00:00Z",
step: "1h" // optional resolution
})
🚀 Quick Start
Installation
git clone <repository-url>
cd monitoring-mcp
npm install
npm run build
Configuration
Set environment variables:
export PROMETHEUS_URL="https://prometheus.example.com"
export ALERTMANAGER_URL="https://alertmanager.example.com"
export GRAFANA_URL="https://grafana.example.com" # Optional
export GRAFANA_API_TOKEN="your-grafana-token" # Optional - Ask admin to create service user and provide token
Running the Server
npm start
# or
node dist/index.js
Server Config
{
"mcpServers": {
"monitoring-mcp": {
"command": "node",
"args": [
"/Users/MCP/mcp-monitoring/dist/index.js"
],
"env": {
"PROMETHEUS_URL": "${input:prometheus_base_url}",
"ALERTMANAGER_URL": "${input:alertmanager_base_url}",
"GRAFANA_URL": "${input:grafana_base_url}",
"GRAFANA_API_KEY": "${input:grafana_api_key}"
}
}
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
reemshai10Star
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