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.
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.
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>"
}
}
}
}
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
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>"
}
}
}
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)
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
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 1.0.0 \
--set prometheus.url="http://prometheus:9090"
With authentication:
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:
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.
| 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 |
| 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.
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 .
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.
MIT
PROMETHEUS_URL*Prometheus server URL (e.g., http://localhost:9090)
PROMETHEUS_URL_SSL_VERIFYSet to False to disable SSL verification
PROMETHEUS_DISABLE_LINKSSet to True to disable Prometheus UI links in query results (saves context tokens in MCP clients)
PROMETHEUS_USERNAMEUsername for Prometheus basic authentication
PROMETHEUS_PASSWORDsecretPassword for Prometheus basic authentication
PROMETHEUS_TOKENsecretBearer token for Prometheus authentication
ORG_IDOrganization ID for multi-tenant Prometheus setups
PROMETHEUS_CLIENT_CERTPath to client certificate file for mutual TLS authentication
PROMETHEUS_CLIENT_KEYPath to client private key file for mutual TLS authentication
PROMETHEUS_MCP_SERVER_TRANSPORTMCP server transport type (stdio, http, or sse)
PROMETHEUS_MCP_BIND_HOSTHost address for HTTP/SSE transport (default: 127.0.0.1)
PROMETHEUS_MCP_BIND_PORTPort number for HTTP/SSE transport (default: 8080)
PROMETHEUS_MCP_STATELESS_HTTPEnable stateless HTTP mode for multi-replica support (default: false)
PROMETHEUS_CUSTOM_HEADERSCustom headers as JSON string to include in Prometheus requests
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