Provides tools for querying Prometheus metrics through instant and range queries, discovering metrics and metadata, retrieving series selectors and label values via the Prometheus HTTP API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@prometheus-rsshow me the current status of all services with the query 'up'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Install
Cursor | VS Code |
On Linux, prefer
--network hostandhttp://localhost:9090in your config.Full instructions (prebuilt binaries, Cargo, Docker, Claude Desktop) in the docs: https://brenoepics.github.io/prometheus-mcp/installation
A minimal Model Context Protocol (MCP) server focused on reading from Prometheus. It exposes Prometheus discovery and query tools to MCP-compatible apps and includes a convenient CLI for local queries.
Highlights
Instant and range queries via Prometheus HTTP API
Discovery helpers: list metrics, get metadata, series selectors, label values
Optional internal metrics exporter at /metrics (disabled by default)
Works as a stdio MCP server or a one-off CLI
Container images
Images are published to both Docker Hub and GHCR:
Docker Hub:
brenoepics/prometheus-mcpGHCR:
ghcr.io/brenoepics/prometheus-mcp
Quickstart
Pick your preferred install method.
From crates.io (installs the
prometheus-mcpbinary):
cargo install prometheus-mcp
prometheus-mcp --helpPrebuilt binaries (GitHub Releases):
Download the latest release for your OS/arch: https://github.com/brenoepics/prometheus-mcp/releases
Docker (pull from Docker Hub or GHCR):
# Docker Hub
docker pull brenoepics/prometheus-mcp:latest
# or GHCR
docker pull ghcr.io/brenoepics/prometheus-mcp:latest
# Run the MCP server against a local Prometheus (pick one image)
docker run --rm -it brenoepics/prometheus-mcp:latest --mcp \
--prometheus-url http://host.docker.internal:9090Installation
Build from source (Rust):
cargo build --release
# binary at ./target/release/prometheus-mcpOr build a Docker image locally:
docker build -t prometheus-mcp:latest .Usage (CLI)
The CLI mirrors the tools exposed over MCP.
Instant query
prometheus-mcp query --query 'up' --prometheus-url http://localhost:9090
# optionally set an evaluation time
prometheus-mcp query --query 'up' --time '2025-09-27T12:00:00Z'Range query
prometheus-mcp range --query 'rate(http_requests_total[5m])' \
--start '2025-09-27T12:00:00Z' --end '2025-09-27T13:00:00Z' --step '30s'List metric names
prometheus-mcp list-metricsMetric metadata
prometheus-mcp metadata --metric 'up'Series selectors (repeat --selector)
prometheus-mcp series --selector 'up' --selector 'node_cpu_seconds_total{mode="idle"}'Label values
prometheus-mcp label-values --label 'job'MCP server (stdio)
Start the MCP server over stdio:
prometheus-mcp --mcp --prometheus-url http://localhost:9090Optional: enable internal metrics at /metrics (default off):
prometheus-mcp --mcp --metrics-exporter --metrics-port 9091Running in Docker
Use the published image from Docker Hub (or GHCR alternative shown):
# Start the MCP server (macOS/Windows: host.docker.internal works; Linux see alternatives below)
docker run --rm -it brenoepics/prometheus-mcp:latest --mcp \
--prometheus-url http://host.docker.internal:9090Linux alternatives when Prometheus runs on the host:
# Use host networking (Linux only)
docker run --rm -it --network host brenoepics/prometheus-mcp:latest --mcp \
--prometheus-url http://localhost:9090
# Without host network: map host gateway and use host.docker.internal
docker run --rm -it --add-host=host.docker.internal:host-gateway \
brenoepics/prometheus-mcp:latest --mcp \
--prometheus-url http://host.docker.internal:9090One-off CLI in the container:
# Instant query
docker run --rm brenoepics/prometheus-mcp:latest query --query 'up' \
--prometheus-url http://host.docker.internal:9090
# Range query
docker run --rm brenoepics/prometheus-mcp:latest range --query 'rate(http_requests_total[5m])' \
--start '2025-09-27T12:00:00Z' --end '2025-09-27T13:00:00Z' --step '30s' \
--prometheus-url http://host.docker.internal:9090Basic Auth
Pass credentials via environment variables or CLI flags.
Environment variables:
export PROMETHEUS_URL=https://prom.example.com
export PROMETHEUS_USERNAME=api
export PROMETHEUS_PASSWORD=secret
prometheus-mcp --mcpCLI flags:
prometheus-mcp --mcp \
--prometheus-url https://prom.example.com \
--prometheus-username api \
--prometheus-password secretDocker with env vars:
docker run --rm -it \
-e PROMETHEUS_URL=https://prom.example.com \
-e PROMETHEUS_USERNAME=api \
-e PROMETHEUS_PASSWORD=secret \
brenoepics/prometheus-mcp:latest --mcpConfiguration
All settings can be provided via environment variables; some also via flags.
Name | Type | Default | CLI flag | Description |
PROMETHEUS_URL | string (URL) | --prometheus-url | Base URL of your Prometheus server | |
PROMETHEUS_TIMEOUT | integer (seconds) | 10 | — | HTTP request timeout |
PROMETHEUS_RETRIES | integer | 3 | — | Number of retries for Prometheus API calls |
PROMETHEUS_RETRY_BACKOFF_MS | integer (ms) | 500 | — | Time to wait between retries |
PROMETHEUS_MIN_INTERVAL_MS | integer (ms) | — | — | Minimum interval between query requests (basic rate limit) |
PROMETHEUS_CACHE_TTL_SECS | integer (seconds) | — | — | TTL for simple in-process caches (list metrics and label values) |
PROMETHEUS_USERNAME | string | — | --prometheus-username | Basic auth username |
PROMETHEUS_PASSWORD | string | — | --prometheus-password | Basic auth password |
— | boolean | false | --mcp | Start MCP server over stdio |
— | boolean | false | --metrics-exporter | Enable internal Prometheus metrics at /metrics |
— | integer (port) | 9091 | --metrics-port | Port for /metrics when exporter is enabled |
See docs/configuration.md for notes and examples.
Accessing from Claude Desktop
Follow the official guide to locate claude_desktop_config.json:
https://modelcontextprotocol.io/quickstart/user#for-claude-desktop-users
Minimal Docker-based entry:
{
"mcpServers": {
"prometheus": {
"command": "docker",
"args": ["run", "--rm", "-i", "brenoepics/prometheus-mcp:latest"]
}
}
}With host Prometheus and exporter (macOS/Windows):
{
"mcpServers": {
"prometheus": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-p", "9091:9091",
"brenoepics/prometheus-mcp:latest",
"--mcp",
"--prometheus-url", "http://host.docker.internal:9090",
"--metrics-exporter",
"--metrics-port", "9091"
]
}
}
}With Basic Auth via environment variables:
{
"mcpServers": {
"prometheus": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "PROMETHEUS_URL=https://prom.example.com",
"-e", "PROMETHEUS_USERNAME=api",
"-e", "PROMETHEUS_PASSWORD=secret",
"brenoepics/prometheus-mcp:latest", "--mcp"
]
}
}
}More examples: see docs/claude-desktop.md.
Debugging
Use the MCP Inspector to exercise the server interactively:
npx @modelcontextprotocol/inspectorConnect with transport "STDIO", command prometheus-mcp, and optional args --mcp --prometheus-url http://localhost:9090.
Logs are appended to /tmp/mcp.jsonl; tail it with:
tail -f /tmp/mcp.jsonlSecurity Considerations
The server does not provide authentication itself; when running outside stdio, keep it on localhost.
Handle credentials via environment variables or your secret manager. Avoid committing secrets.
License
Apache-2.0