mcp-server-prometheus
About
mcp-server-prometheus is a TypeScript-based MCP server that bridges Claude with a Prometheus instance. It enables listing and reading Prometheus metric metadata and statistics through the Model Context Protocol.
Details
- Author
- MCP-Mirror
- Downloads
- 322
- Categories
- Developer Tools
Jump to
- List all available Prometheus metrics with descriptions
- Read detailed metric metadata and help text
- Access current statistical data (count, min, max)
- JSON mime type for structured metric access
- Basic authentication support for secured Prometheus instances
Configure the PROMETHEUS_URL environment variable (and optionally PROMETHEUS_USERNAME/PROMETHEUS_PASSWORD for basic auth). Add the server to your Claude Desktop config by pointing to the built index.js and setting the required environment. Use npm run build to compile, npm run watch for auto-rebuild, and npm run inspector for debugging.
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"></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)
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.





