{"id":"raihan0824-prometheus-mcp-server","name":"raihan0824-prometheus-mcp-server","af_score":60.0,"security_score":54.2,"reliability_score":32.5,"what_it_does":"Provides a Model Context Protocol (MCP) server that lets AI assistants connect to a Prometheus server, discover metrics/targets, and run PromQL instant and range queries via MCP tools. Configuration is primarily done through environment variables (PROMETHEUS_URL and optional credentials/tokens).","best_when":"You want an MCP-enabled AI assistant to query Prometheus (including metric discovery) from a controlled environment where Prometheus access is already secured.","avoid_when":"You need fine-grained authorization for different metrics/users or you require clearly documented rate-limit and retry/idempotency semantics from this MCP server.","last_evaluated":"2026-04-04T21:46:17.796765+00:00","has_mcp":true,"has_api":false,"auth_methods":["Basic auth via PROMETHEUS_USERNAME and PROMETHEUS_PASSWORD","Bearer token auth via PROMETHEUS_TOKEN"],"has_free_tier":false,"known_gotchas":["Agent-driven PromQL queries can be expensive; this README does not document query cost controls or recommended guardrails—coordinate with your Prometheus limits.","Rate limits are not described for the MCP server interface; if rate-limited by Prometheus/network, agents may need conservative query pacing.","No evidence in README of MCP-server-side auth for MCP clients; treat MCP server as trusted/internal only."],"error_quality":0.0}