Prometheus MCP Server

pab1it0/prometheus-mcp-server

The Prometheus MCP Server enables AI assistants to query and analyze Prometheus metrics by providing standardized MCP interfaces for executing PromQL queries against a Prometheus instance. It supports multiple deployment options including Claude Desktop, VS Code, Cursor, Windsurf, and Docker, with configuration via environment variables to specify the Prometheus server URL. This tool solves the problem of giving language models direct access to monitoring data and time-series metrics without requiring custom API integrations.

GitHub stars: 457
last updated: May 1, 2026

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Configuration

PROMETHEUS_URL*

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

Readme

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

Claude Desktop

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": "<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 the respective IDE:

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

Docker Desktop

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)

Manual Docker Setup

Run directly with Docker:

# 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

Helm Chart (Kubernetes)

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

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.1.1 \
  --set prometheus.url="http://prometheus:9090"

With authentication:

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.1.1 \
  --set prometheus.url="http://prometheus:9090" \
  --set auth.username="admin" \
  --set auth.password="secret"

With a custom values file:

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.1.1 \
  -f values.yaml

See the chart values for all available configuration options.

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 scrape targets, with server-side `state`/`scrape_pool` filtering and optional pagination

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
- Open range query results in the Prometheus UI with the same time window and resolution
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:

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

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

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:

# 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

Details

Repository: github.com/pab1it0/prometheus-mcp-server
Website: pab1it0.github.io/prometheus-mcp-server
Category: Monitoring & Observability
Package: ghcr.io/pab1it0/prometheus-mcp-server:1.6.1
Transport: STDIO
Auth: Required
Registry: MCP registry, active

Prometheus MCP Server

Give AI assistants the power to query your Prometheus metrics.

Getting Started

Prerequisites

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

Installation Methods

Claude Desktop

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": "<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 the respective IDE:

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

Docker Desktop

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)

Manual Docker Setup

Run directly with Docker:

# 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

Helm Chart (Kubernetes)

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

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.1.1 \
  --set prometheus.url="http://prometheus:9090"

With authentication:

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.1.1 \
  --set prometheus.url="http://prometheus:9090" \
  --set auth.username="admin" \
  --set auth.password="secret"

With a custom values file:

helm install prometheus-mcp-server \
  oci://ghcr.io/pab1it0/charts/prometheus-mcp-server \
  --version 1.1.1 \
  -f values.yaml

See the chart values for all available configuration options.

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 scrape targets, with server-side `state`/`scrape_pool` filtering and optional pagination

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
- Open range query results in the Prometheus UI with the same time window and resolution
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:

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

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

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:

# 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

Prometheus MCP Server

Configuration

Readme

Prometheus MCP Server

Getting Started

Prerequisites

Installation Methods

Configuration Options

Available Tools

Features

Development

Testing

License

Details

Prometheus MCP Server

Configuration

Readme

Prometheus MCP Server

Getting Started

Prerequisites

Installation Methods

Configuration Options

Available Tools

Features

Development

Testing

License

Details

Related Monitoring & Observability MCP servers

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