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Query and aggregate InfluxDB time-series data without flooding context windows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "influx-timeseries-mcp" yet — see the docs or source repo.
Query the API service p95 latency for the last 24 hours, aggregate by 15-minute windows, and return only a trend summary, peak periods, and anomaly notes.
Returns aggregated latency trends, peak time ranges, and concise anomaly analysis without massive raw datapoints.
Summarize CPU and memory usage for production hosts over the last 7 days, aggregate daily, and output averages, maxima, and hosts with abnormal resource usage.
Provides daily resource summaries, key peaks, and a list of abnormal hosts for fast ops review.
Query temperature data for a sensor group over the last 30 days, aggregate hourly, identify out-of-range periods, and generate an anomaly summary.
Outputs hourly aggregated temperature trends, flagged anomaly periods, and brief analysis-ready conclusions.
Read sensor history, detect anomalies, and run Flux queries on InfluxDB.
Query and explore InfluxDB v1 time-series data through AI using InfluxQL.
Use one MCP server for filesystem, database, web, and system operations.
Use natural language to query, write, aggregate, and manage MongoDB collections.
Securely connect to and operate MySQL databases through the MCP protocol.
Connect to PostgreSQL and MySQL, run SQL, and manage database transactions.