-
security-
license-
qualityA versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.
Last updated -
19
Provides tools for querying real-time and historical metrics data, discovering available metrics, retrieving metric metadata, and monitoring scrape targets from Prometheus monitoring systems.
Prometheus MCP Server
A Model Context Protocol (MCP) server that provides seamless integration with Prometheus, enabling AI assistants to query metrics, discover available data, and analyze system performance through natural language interactions.
Features
Real-time Metrics Access - Query current and historical metrics data
Metrics Discovery - Find available metrics and monitoring targets
Multiple Auth Methods - Basic auth, bearer tokens, and TLS support
Type-safe - Full TypeScript implementation
MCP Configuration
Using npx (Recommended)
Add to your MCP client settings:
{
"mcpServers": {
"prometheus": {
"command": "npx",
"args": ["prometheus-mcp-server"],
"env": {
"PROMETHEUS_URL": "http://localhost:9090"
}
}
}
}
Using global installation
First install the package globally:
npm install -g prometheus-mcp-server
Then configure your MCP client:
{
"mcpServers": {
"prometheus": {
"command": "prometheus-mcp-server",
"env": {
"PROMETHEUS_URL": "http://localhost:9090"
}
}
}
}
Environment Variables
# Required
PROMETHEUS_URL=http://localhost:9090
# Optional Authentication
PROMETHEUS_USERNAME=admin
PROMETHEUS_PASSWORD=password
PROMETHEUS_TOKEN=bearer-token
# Optional Connection
PROMETHEUS_TIMEOUT=10000
PROMETHEUS_INSECURE=false
Available Tools
Tool | Description | Use Case |
| Execute PromQL instant query | Get current metric values, alerts status |
| Execute PromQL range query | Analyze trends, create graphs, historical data |
| Discover available metrics | Explore what metrics are available in your system |
| Get metric metadata | Understand metric types, descriptions, and units |
| Get scrape targets info | Monitor scraping health and service discovery |
Example Usage
Ask your AI assistant natural language questions:
"What's the current CPU usage across all servers?"
"Show me HTTP request rates for the last 6 hours"
"Which services have the highest memory consumption?"
"Are there any failing health checks?"
"What metrics are available for monitoring my database?"
Development
# Run with inspector
npm run inspector
# Run directly
npm run dev
Connection Methods
1. No Authentication
export PROMETHEUS_URL=http://localhost:9090
2. Basic Authentication
export PROMETHEUS_URL=http://localhost:9090
export PROMETHEUS_USERNAME=admin
export PROMETHEUS_PASSWORD=secret
3. Bearer Token
export PROMETHEUS_URL=https://prometheus.example.com:9090
export PROMETHEUS_TOKEN=your-bearer-token
Additional Options
For self-signed certificates or development:
export PROMETHEUS_INSECURE=true
License
MIT
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