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Query and explore InfluxDB v1 time-series data through AI using InfluxQL.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcflux" yet — see the docs or source repo.
Query the host cpu_usage metric for the last 24 hours, aggregated hourly. Show average and peak values, and summarize whether there are abnormal fluctuations.
Hourly aggregated CPU usage data, notable peak observations, and a brief analysis of abnormal fluctuations.
Query api_latency time-series data for the last 7 days, calculate daily P95 or the closest available approximation, and identify periods with clear latency increases.
A 7-day latency overview, daily high-latency results, and the time periods that need further investigation.
List the main queryable measurements, common tag keys, and field keys in the current InfluxDB, and briefly group them by use case for further analysis.
A list of available measurements, tags, and fields, plus grouped suggestions for follow-up queries.
Query, write, and manage InfluxDB databases and tokens via MCP clients.
Let AI access Redmine projects, issues, and time data in natural language.
Let AI query multiple SQL databases read-only and export results.
Let AI read and write MySQL, switch databases, and auto-configure from Spring Boot.
Run read-only MySQL queries and list datasources through MCP.
Connect AI to MySQL for natural-language SQL generation and query execution.