Prometheus-MCP-Server: AI-Driven Multi-Cloud Orchestration & Analytics

Prometheus-MCP-Server: The enterprise-grade powerhouse unifying multi-cloud orchestration and real-time analytics with AI-driven automation for unmatched operational resilience.

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About Prometheus-MCP-Server

What is Prometheus-MCP-Server: AI-Driven Multi-Cloud Orchestration & Analytics?

Meet Prometheus-MCP-Server: the Swiss Army knife of cloud monitoring, bridging the gap between AI-powered tools like Claude and your Prometheus metrics. This TypeScript wizardry speaks the language of the Model Context Protocol (MCP), turning raw Prometheus data into actionable insights that even a sentient toaster might envy. Think of it as your dashboard's trusty sidekick, handling everything from instant query acrobatics to metadata forensics.

How to use Prometheus-MCP-Server: AI-Driven Multi-Cloud Orchestration & Analytics?

Installation is as easy as a coffee order at a tech conference:

Global install: npm i -g prometheus-mcp-server (for the bold)
Local install: npm i prometheus-mcp-server (for the cautious)
NPM one-timers: npx prometheus-mcp-server (for the indecisive)

Configure Claude Desktop by editing JSON files like a sysadmin poet—MacOS lovers and Windows warriors alike get their own config stanza. Just remember to set PROMETHEUS_HOST unless your Prometheus instance is hosting a localhost sleepover.

Prometheus-MCP-Server Features

Key Features of Prometheus-MCP-Server: AI-Driven Multi-Cloud Orchestration & Analytics?

This server is a feature buffet with items like:

Temporal Query Juggler: Instant queries for real-time thrills, or range queries for historical detective work
Series Safari: Track down metric series using label matchers like a wildlife tracker
Alert Antics: Fetch alert statuses and rules like a cosmic traffic cop
Metadata Maestro: Unearth every metric's hidden backstory
Target Tango: Dance with scrape target details in perfect sync

And that's just the appetizer—there's even a mcp__get_status function to check if your Prometheus server is feeling its best.

Use cases of Prometheus-MCP-Server: AI-Driven Multi-Cloud Orchestration & Analytics?

Cloud Sleuthing: Cross-reference metrics across AWS, GCP, and Azure like a digital Sherlock
AI-Powered Debugging: Let Claude analyze error trends using Prometheus' time series data
Auto-Responder Dreams: Create automated workflows that react to alert patterns
Historical What-Ifs: Replay past metric patterns to test "if we had scaled earlier" scenarios

Prometheus-MCP-Server FAQ

FAQ from Prometheus-MCP-Server: AI-Driven Multi-Cloud Orchestration & Analytics?

Why TypeScript? Because JavaScript alone can't handle Prometheus' existential crises.
Can it monitor my toaster? Only if your toaster speaks PromQL (patent pending).
What's with the debugging? MCP's stdio communication is like trying to debug a conversation in a disco—add inspect-debug for laser focus.
Contributions? Yes please! Submit PRs like you're contributing to humanity's cloud consciousness here.
Will it replace my coffee? No. But it might make your coffee orders smarter.

Content

prometheus-mcp-server

Prometheus MCP Server

A Model Context Protocol (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).

Features

Instant Queries : Execute PromQL queries at a specific time
Range Queries : Execute PromQL queries over a time period
Series Discovery : Find series by label matchers
Label Exploration : Get label names and values
Metadata Access : Get metadata for metrics
Target Information : Get information about scrape targets
Alerts & Rules: Get information about alerts and recording rules
Status Information : Get Prometheus server status information

Installation

# Install globally
npm install -g prometheus-mcp-server

# Or install locally
npm install prometheus-mcp-server

# Or use npx to run without installation
npx prometheus-mcp-server

Usage with Claude

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": {
    "prometheus-mcp-server": {
      "command": "/path/to/prometheus-mcp-server/build/index.js",
      "env": {
        "PROMETHEUS_HOST": "http://your-prometheus-instance:9090"
      }
    }
  }
}

Using with npx

You can also use npx in your Claude Desktop configuration:

{
  "mcpServers": {
    "prometheus-mcp-server": {
      "command": "npx prometheus-mcp-server",
      "env": {
        "PROMETHEUS_HOST": "http://your-prometheus-instance:9090"
      }
    }
  }
}

Configuration

The server requires the following environment variable:

PROMETHEUS_HOST: The base URL of your Prometheus instance (default: http://localhost:9090)

Available Functions

The server provides the following functions:

mcp__instant_query: Execute an instant PromQL query
mcp__range_query: Execute a range PromQL query over a time period
mcp__get_series: Find series by label matchers
mcp__get_label_values: Get values for a specific label
mcp__get_metadata: Get metadata for metrics
mcp__get_targets: Get information about scrape targets
mcp__get_alerts: Get information about alerts
mcp__get_rules: Get information about recording and alerting rules
mcp__get_status: Get status information about the Prometheus server

Development

# Install dependencies
npm install

# Build the project
npm run build

# Start the server
npm start

# Debug
npm run dev:debug

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. You can use the following npm scripts for debugging:

# Inspect mode
npm run inspect

# Inspect with breakpoints
npm run inspect-debug

License

ISC

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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