Prometheus MCP server

Connects AI systems to Prometheus monitoring infrastructure for executing PromQL queries, discovering metrics, and retrieving target metadata to enable real-time operational analytics and performance monitoring.
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Setup instructions
Provider
pab1it0
Release date
Mar 20, 2025
Language
Python
Stats
272 stars

Prometheus MCP Server provides access to your Prometheus metrics and queries through standardized Model Context Protocol (MCP) interfaces, enabling AI assistants to execute PromQL queries and analyze metrics data. This server acts as a bridge between your Prometheus instances and AI tools, making your monitoring data accessible for analysis.

Features

  • Execute PromQL queries against Prometheus
  • Discover and explore metrics (list available metrics, get metadata, view instant/range query results)
  • Authentication support (basic auth and bearer token)
  • Docker containerization support
  • Configurable tools for AI assistants

Installation Methods

Docker (Recommended)

The easiest way to run the Prometheus MCP server is through Docker:

docker run -i --rm \
  -e PROMETHEUS_URL="http://your-prometheus:9090" \
  ghcr.io/pab1it0/prometheus-mcp-server:latest

Claude Desktop Integration

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "prometheus": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "PROMETHEUS_URL",
        "ghcr.io/pab1it0/prometheus-mcp-server:latest"
      ],
      "env": {
        "PROMETHEUS_URL": "http://your-prometheus:9090"
      }
    }
  }
}

Claude Code CLI

Install via the Claude Code CLI:

claude mcp add prometheus --env PROMETHEUS_URL=http://your-prometheus:9090 -- docker run -i --rm -e PROMETHEUS_URL ghcr.io/pab1it0/prometheus-mcp-server:latest

VS Code / Cursor / Windsurf

Add to your MCP settings in the respective IDE:

{
  "prometheus": {
    "command": "docker",
    "args": [
      "run",
      "-i",
      "--rm",
      "-e",
      "PROMETHEUS_URL",
      "ghcr.io/pab1it0/prometheus-mcp-server:latest"
    ],
    "env": {
      "PROMETHEUS_URL": "http://your-prometheus:9090"
    }
  }
}

Configuration Options

Environment Variables

Variable Description Required
PROMETHEUS_URL URL of your Prometheus server Yes
PROMETHEUS_URL_SSL_VERIFY Set to False to disable SSL verification No
PROMETHEUS_DISABLE_LINKS Set to True to disable Prometheus UI links in query results No
PROMETHEUS_USERNAME Username for basic authentication No
PROMETHEUS_PASSWORD Password for basic authentication No
PROMETHEUS_TOKEN Bearer token for authentication No
ORG_ID Organization ID for multi-tenant setups No
PROMETHEUS_MCP_SERVER_TRANSPORT Transport mode (stdio, http, sse) No (default: stdio)
PROMETHEUS_MCP_BIND_HOST Host for HTTP transport No (default: 127.0.0.1)
PROMETHEUS_MCP_BIND_PORT Port for HTTP transport No (default: 8080)

Authentication Example

For Prometheus instances that require authentication:

docker run -i --rm \
  -e PROMETHEUS_URL="http://your-prometheus:9090" \
  -e PROMETHEUS_USERNAME="admin" \
  -e PROMETHEUS_PASSWORD="password" \
  ghcr.io/pab1it0/prometheus-mcp-server:latest

Or with token authentication:

docker run -i --rm \
  -e PROMETHEUS_URL="http://your-prometheus:9090" \
  -e PROMETHEUS_TOKEN="your-token" \
  ghcr.io/pab1it0/prometheus-mcp-server:latest

Available Tools

The MCP server provides several tools that AI assistants can use to interact with your Prometheus data:

Query Tools

  • execute_query: Execute a PromQL instant query against Prometheus
  • execute_range_query: Execute a PromQL range query with start time, end time, and step interval

Discovery Tools

  • list_metrics: List all available metrics in Prometheus
  • get_metric_metadata: Get metadata for a specific metric
  • get_targets: Get information about all scrape targets

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "prometheus" '{"command":"docker","args":["run","-i","--rm","-e","PROMETHEUS_URL","ghcr.io/pab1it0/prometheus-mcp-server:latest"],"env":{"PROMETHEUS_URL":"<url>"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "prometheus": {
            "command": "docker",
            "args": [
                "run",
                "-i",
                "--rm",
                "-e",
                "PROMETHEUS_URL",
                "ghcr.io/pab1it0/prometheus-mcp-server:latest"
            ],
            "env": {
                "PROMETHEUS_URL": "<url>"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "prometheus": {
            "command": "docker",
            "args": [
                "run",
                "-i",
                "--rm",
                "-e",
                "PROMETHEUS_URL",
                "ghcr.io/pab1it0/prometheus-mcp-server:latest"
            ],
            "env": {
                "PROMETHEUS_URL": "<url>"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect

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