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
303 stars

The Prometheus MCP server provides a standardized Model Context Protocol interface for AI assistants to access and analyze your Prometheus metrics. It allows AI tools to execute PromQL queries, discover metrics, and help with monitoring data analysis through a well-defined API.

Installation

Docker Installation (Recommended)

The simplest way to run the Prometheus MCP server is using Docker:

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

If your Prometheus server requires authentication, add the credentials:

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

MCP Client Integration

Claude Desktop

Add this 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": "<your-prometheus-url>"
      }
    }
  }
}

Claude Code

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 your IDE:

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

Configuration

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 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
PROMETHEUS_MCP_BIND_HOST Host for HTTP transport No
PROMETHEUS_MCP_BIND_PORT Port for HTTP transport No
PROMETHEUS_CUSTOM_HEADERS Custom headers as JSON string No

Available Tools

The Prometheus MCP server provides the following tools for AI assistants to interact with your metrics:

Query Tools

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

Discovery Tools

  • list_metrics: Browse all available metrics with pagination and filtering
  • get_metric_metadata: Retrieve metadata for specific metrics
  • get_targets: Get information about all scrape targets

System Tools

  • health_check: Verify the server is functioning correctly

Usage Examples

Once configured, your AI assistant can use these tools to help you analyze metrics. For example, you could ask:

  • "Show me CPU usage for the last hour"
  • "List all available metrics related to memory"
  • "What's the current request rate on our API endpoints?"
  • "Graph the error rate over the past day"

The AI will use the appropriate MCP tools to query your Prometheus server and return meaningful analysis.

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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