Best MCP servers for time-series databases

Time-series data, metrics, events, sensor readings, financial ticks, has its own storage and query model: append-heavy writes, time-bucketed reads, downsampling, and high cardinality. An agent that can query a time-series store directly can answer operational and analytical questions, what was throughput during the incident window, which series spiked, how does this week compare to last, without you exporting to a notebook first. The right server depends on your engine and query language: a purpose-built TSDB with SQL and line protocol, a column store fast enough for time-series at scale, or a metrics system queried with PromQL. The servers below cover those shapes, each a real MCP server with a verified, current install config, so the agent can run real queries against live time-series data.