
Prometheus MCP Server
Supports UIby pab1it0
Expose summarized service health signals and Prometheus metrics for LLM-based analysis and monitoring.
What it does
Integrates Prometheus monitoring into your AI workflow. It enables LLMs to query time-series metrics, check service health, and analyze infrastructure signals using PromQL. This transforms your AI from a simple chatbot into a powerful observability assistant capable of diagnosing system issues through data.
Tools
query_prometheus: Execute PromQL queries (Instant and Range) to fetch specific metric data.explore_metrics: List available metrics and their metadata to understand what is being tracked.check_health: Verify the connection status between the MCP server and the Prometheus instance.admin_status: Check active targets, alerts, and general server configuration.
Installation
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"prometheus-mcp": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "PROMETHEUS_URL=http://host.docker.internal:9090",
"ghcr.io/polyglot-k/prometheus-mcp-server:latest"
]
}
}
}
Supported hosts
- Claude Desktop
Quick install
docker run -i --rm -e PROMETHEUS_URL=http://host.docker.internal:9090 ghcr.io/polyglot-k/prometheus-mcp-server:latestInformation
- Pricing
- free
- Published
- 4/17/2026







