{"id":"polyglot-k-prometheus-mcp-server","name":"prometheus-mcp-server","af_score":47.0,"security_score":28.5,"reliability_score":16.2,"what_it_does":"An MCP (Model Context Protocol) server that lets AI clients query Prometheus: it summarizes service health, lists metrics/metadata, runs PromQL queries (instant and range), and provides some administration-style views (targets, alerts, settings) by connecting to a configured Prometheus URL.","best_when":"You want an MCP-compatible way for an LLM to inspect Prometheus signals and produce analysis summaries, with a straightforward deployment where the MCP server can reach Prometheus.","avoid_when":"You need robust authentication/authorization, multi-tenant controls, or strict governance around what metrics can be queried by which user.","last_evaluated":"2026-04-04T19:51:55.176318+00:00","has_mcp":true,"has_api":false,"auth_methods":["None stated for MCP server itself (configuration via env var PROMETHEUS_URL). Authentication, if any, is delegated to Prometheus access controls/networking. "],"has_free_tier":false,"known_gotchas":["Prometheus connectivity is required and depends on PROMETHEUS_URL being reachable from where the MCP server runs (including Docker networking specifics like host.docker.internal).","No explicit rate-limit behavior or query throttling guidance is stated; aggressive LLM-driven query generation could overload Prometheus.","No explicit MCP auth/permissions model is described; agents may be able to request wide metric/metadata access depending on what Prometheus allows."],"error_quality":0.0}