Prometheus MCP Server lets an assistant interrogate a running Prometheus instance through its HTTP API. Its tools execute PromQL queries, both instant and over a range, and — importantly — enumerate the metrics and label values the server actually holds. That discovery step is what makes the rest work: PromQL is unforgiving, metric names are conventions rather than a schema, and a query against a metric that does not exist returns an empty result rather than an error, so a model writing queries blind produces confident nonsense. With metric listing available it can check what exists, inspect the labels, and then compose a query that matches. The README frames the intended use as investigation, with an example of asking Claude to look into a problem: the assistant explores which metrics are relevant, queries them, reads the numbers and narrows down a cause, rather than a human translating each hypothesis into PromQL by hand. It is written in Go and distributed as tagged binary releases, with golangci-lint and Go Report Card in continuous integration. Access is read-only against the Prometheus API, which is the right shape — the server observes a monitoring system rather than changing it. The audience is site-reliability and platform engineers, particularly during incidents.
https://github.com/tjhop/prometheus-mcp-server
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