mcp-server-prometheus
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MCP-Mirror
README
mcp-server-prometheus
MCP server for interacting with Prometheus metrics and data.
This is a TypeScript-based MCP server that implements a Prometheus API interface. It provides a bridge between Claude and your Prometheus server through the Model Context Protocol (MCP).
<a href="https://glama.ai/mcp/servers/y7b3qba8jy"><img width="380" height="200" src="https://glama.ai/mcp/servers/y7b3qba8jy/badge" alt="mcp-server-prometheus MCP server" /></a>
Demo

Features
Resources
- List and access Prometheus metric schema
- Each metric resource provides:
- Metric name and description
- Detailed metadata from Prometheus
- Statistical information (count, min, max)
- JSON mime type for structured data access
Current Capabilities
- List all available Prometheus metrics with descriptions
- Read detailed metric information including:
- Metadata and help text
- Current statistical data (count, min, max values)
- Basic authentication support for secured Prometheus instances
Configuration
The server requires the following environment variable:
PROMETHEUS_URL: The base URL of your Prometheus instance
Optional authentication configuration:
PROMETHEUS_USERNAME: Username for basic auth (if required)PROMETHEUS_PASSWORD: Password for basic auth (if required)
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-server-prometheus": {
"command": "/path/to/mcp-server-prometheus/build/index.js",
"env": {
"PROMETHEUS_URL": "http://your-prometheus-instance:9090"
}
}
}
}
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
API Structure
The server exposes Prometheus metrics through the following URI structure:
- Base URI:
http://your-prometheus-instance:9090 - Metric URIs:
http://your-prometheus-instance:9090/metrics/{metric_name}
Each metric resource returns JSON data containing:
- Metric name
- Metadata (help text, type)
- Current statistics (count, min, max)
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