io.github.pab1it0/prometheus-mcp-server

Official

by pab1it0 · Python

Prometheus MCP Server

MCP server providing Prometheus metrics access and PromQL query execution for AI assistants

Access Prometheus metrics and execute PromQL queries for monitoring.

Topics

aidevopsllmmcpprometheusmodel-context-protocol

README.md9 KBView on GitHub

Prometheus MCP Server

Give AI assistants the power to query your Prometheus metrics.

A Model Context Protocol (MCP) server that provides access to your Prometheus metrics and queries through standardized MCP interfaces, allowing AI assistants to execute PromQL queries and analyze your metrics data.

Getting Started

Prerequisites

Prometheus server accessible from your environment
MCP-compatible client (Claude Desktop, VS Code, Cursor, Windsurf, etc.)

Installation Methods

<details> <summary>Claude Desktop</summary>

Add to your Claude Desktop configuration:

json

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

</details> <details> <summary>Claude Code</summary>

Install via the Claude Code CLI:

bash

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

</details> <details> <summary>VS Code / Cursor / Windsurf</summary>

Add to your MCP settings in the respective IDE:

json

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

</details> <details> <summary>Docker Desktop</summary>

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

Via MCP Catalog: Visit the Prometheus MCP Server on Docker Hub and click the button above
Via MCP Toolkit: Use Docker Desktop's MCP Toolkit extension to discover and install the server
Configure your connection using environment variables (see Configuration Options below)

</details> <details> <summary>Manual Docker Setup</summary>

Run directly with Docker:

bash

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

# With 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

</details> <details> <summary>Helm Chart (Kubernetes)</summary>

Deploy to Kubernetes using the Helm chart from the OCI registry:

bash

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.0.0 \
  --set prometheus.url="http://prometheus:9090"

With authentication:

bash

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.0.0 \
  --set prometheus.url="http://prometheus:9090" \
  --set auth.username="admin" \
  --set auth.password="secret"

With a custom values file:

bash

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.0.0 \
  -f values.yaml

See the chart values for all available configuration options.

</details>

Configuration Options

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 (saves context tokens)	No
`PROMETHEUS_REQUEST_TIMEOUT`	Request timeout in seconds to prevent hanging requests (DDoS protection)	No (default: 30)
`PROMETHEUS_USERNAME`	Username for basic authentication	No
`PROMETHEUS_PASSWORD`	Password for basic authentication	No
`PROMETHEUS_TOKEN`	Bearer token for authentication	No
`PROMETHEUS_CLIENT_CERT`	Path to client certificate file for mutual TLS authentication	No
`PROMETHEUS_CLIENT_KEY`	Path to client private key file for mutual TLS authentication	No
`REQUESTS_CA_BUNDLE`	Path to CA bundle file for verifying the server's TLS certificate (standard `requests` library env var)	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)
`PROMETHEUS_MCP_STATELESS_HTTP`	Enable stateless HTTP mode for multi-replica support	No (default: False)
`PROMETHEUS_CUSTOM_HEADERS`	Custom headers as JSON string	No
`TOOL_PREFIX`	Prefix for all tool names (e.g., `staging` results in `staging_execute_query`). Useful for running multiple instances targeting different environments in Cursor	No

Available Tools

Tool	Category	Description
`health_check`	System	Health check endpoint for container monitoring and status verification
`execute_query`	Query	Execute a PromQL instant query against Prometheus
`execute_range_query`	Query	Execute a PromQL range query with start time, end time, and step interval
`list_metrics`	Discovery	List all available metrics in Prometheus with pagination and filtering support
`get_metric_metadata`	Discovery	Get metadata for one metric or bulk metadata with optional filtering
`get_targets`	Discovery	Get information about all scrape targets

The list of tools is configurable, so you can choose which tools you want to make available to the MCP client. This is useful if you don't use certain functionality or if you don't want to take up too much of the context window.

Features

Execute PromQL queries against Prometheus
Discover and explore metrics
- List available metrics
- Get metadata for specific metrics
- Search metric metadata by name or description in a single call
- View instant query results
- View range query results with different step intervals
Authentication support
- Basic auth from environment variables
- Bearer token auth from environment variables
Docker containerization support
Provide interactive tools for AI assistants

Development

Contributions are welcome! Please see our Contributing Guide for detailed information on how to get started, coding standards, and the pull request process.

This project uses uv to manage dependencies. Install uv following the instructions for your platform:

bash

curl -LsSf https://astral.sh/uv/install.sh | sh

You can then create a virtual environment and install the dependencies with:

bash

uv venv
source .venv/bin/activate  # On Unix/macOS
.venv\Scripts\activate     # On Windows
uv pip install -e .

Testing

The project includes a comprehensive test suite that ensures functionality and helps prevent regressions.

Run the tests with pytest:

bash

# Install development dependencies
uv pip install -e ".[dev]"

# Run the tests
pytest

# Run with coverage report
pytest --cov=src --cov-report=term-missing

When adding new features, please also add corresponding tests.

License

MIT

Install

Configuration

Environment variables

PROMETHEUS_URLrequired

Prometheus server URL (e.g., http://localhost:9090)

PROMETHEUS_URL_SSL_VERIFY

Set to False to disable SSL verification

PROMETHEUS_DISABLE_LINKS

Set to True to disable Prometheus UI links in query results (saves context tokens in MCP clients)

PROMETHEUS_USERNAME

Username for Prometheus basic authentication

PROMETHEUS_PASSWORDsecret

Password for Prometheus basic authentication

PROMETHEUS_TOKENsecret

Bearer token for Prometheus authentication

ORG_ID

Organization ID for multi-tenant Prometheus setups

PROMETHEUS_CLIENT_CERT

Path to client certificate file for mutual TLS authentication

PROMETHEUS_CLIENT_KEY

Path to client private key file for mutual TLS authentication

PROMETHEUS_MCP_SERVER_TRANSPORT

MCP server transport type (stdio, http, or sse)

PROMETHEUS_MCP_BIND_HOST

Host address for HTTP/SSE transport (default: 127.0.0.1)

PROMETHEUS_MCP_BIND_PORT

Port number for HTTP/SSE transport (default: 8080)

PROMETHEUS_MCP_STATELESS_HTTP

Enable stateless HTTP mode for multi-replica support (default: false)

PROMETHEUS_CUSTOM_HEADERS

Custom headers as JSON string to include in Prometheus requests

claude_desktop_config.json

{
  "mcpServers": {
    "prometheus-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/pab1it0/prometheus-mcp-server:1.6.1"
      ],
      "env": {
        "PROMETHEUS_URL": "<YOUR_PROMETHEUS_URL>",
        "PROMETHEUS_URL_SSL_VERIFY": "<YOUR_PROMETHEUS_URL_SSL_VERIFY>",
        "PROMETHEUS_DISABLE_LINKS": "<YOUR_PROMETHEUS_DISABLE_LINKS>",
        "PROMETHEUS_USERNAME": "<YOUR_PROMETHEUS_USERNAME>",
        "PROMETHEUS_PASSWORD": "<YOUR_PROMETHEUS_PASSWORD>",
        "PROMETHEUS_TOKEN": "<YOUR_PROMETHEUS_TOKEN>",
        "ORG_ID": "<YOUR_ORG_ID>",
        "PROMETHEUS_CLIENT_CERT": "<YOUR_PROMETHEUS_CLIENT_CERT>",
        "PROMETHEUS_CLIENT_KEY": "<YOUR_PROMETHEUS_CLIENT_KEY>",
        "PROMETHEUS_MCP_SERVER_TRANSPORT": "<YOUR_PROMETHEUS_MCP_SERVER_TRANSPORT>",
        "PROMETHEUS_MCP_BIND_HOST": "<YOUR_PROMETHEUS_MCP_BIND_HOST>",
        "PROMETHEUS_MCP_BIND_PORT": "<YOUR_PROMETHEUS_MCP_BIND_PORT>",
        "PROMETHEUS_MCP_STATELESS_HTTP": "<YOUR_PROMETHEUS_MCP_STATELESS_HTTP>",
        "PROMETHEUS_CUSTOM_HEADERS": "<YOUR_PROMETHEUS_CUSTOM_HEADERS>"
      }
    }
  }
}