MCP-Server-Prometheus: Proactive Alerts & Ironclad Reliability

Mirror every server heartbeat with MCP-Server-Prometheus – real-time Prometheus-powered insights, proactive alerts, and ironclad reliability for mission-critical systems.

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About MCP-Server-Prometheus

What is MCP-Server-Prometheus: Proactive Alerts & Ironclad Reliability?

MCP-Server-Prometheus is a TypeScript-based middleware that bridges the Model Context Protocol (MCP) with Prometheus monitoring systems. It enables seamless access to Prometheus metrics and data within applications like Claude, offering proactive alerting capabilities and enterprise-grade reliability. The server acts as an API gateway, exposing Prometheus data through structured endpoints while maintaining compatibility with authentication and statistical analysis.

How to Use MCP-Server-Prometheus: Proactive Alerts & Ironclad Reliability?

Integration follows three core steps: configure, deploy, and connect. First, set environment variables specifying your Prometheus instance URL and optional credentials. Next, build the server using npm workflows, then register it in Claude Desktop’s configuration file. The server auto-formats metrics into MCP-compliant resources, making them accessible via standardized HTTP endpoints. For troubleshooting, leverage the MCP Inspector tool to trace data flows in real-time.

MCP-Server-Prometheus Features

Key Features of MCP-Server-Prometheus: Proactive Alerts & Ironclad Reliability?

Metric Schema Access: Retrieve metadata, help text, and statistical snapshots (count, min/max) for all Prometheus metrics
Authentication Support: Securely connect to protected Prometheus instances via Basic Auth
Structured Output: Exposes metrics in JSON format for programmatic consumption
Real-Time Capabilities: Provides current statistical values directly from live Prometheus data
Development Tools: Hot-reload enabled workflows and integrated debugging with the MCP Inspector

Use Cases for Proactive Alerting & Reliability

Deploy this server to:
- Create automated alert triggers based on live metric thresholds
- Power dashboard widgets with real-time Prometheus data
- Maintain audit trails by logging metric access patterns
- Ensure secure metric exposure in multi-tenant environments

MCP-Server-Prometheus FAQ

FAQ: Common Configuration Scenarios

Q: Does it support Prometheus authentication?
A: Yes, Basic Auth credentials are injected via environment variables
Q: How are metrics updated?
A: The server fetches fresh data on each API request by default
Q: Can I customize output formats?
A: JSON structure is fixed to MCP standards, but data filtering can be applied upstream
Q: What error handling exists?
A: Built-in retries for transient Prometheus connection failures, with error codes exposed via HTTP status

Content

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).

Demo

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)