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Read sensor history, detect anomalies, and run Flux queries on InfluxDB.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "influx-mcp" yet — see the docs or source repo.
Read the past 7 days of living room temperature and humidity sensor history, aggregate by hour, and return a summary for trend analysis.
Returns hourly aggregated temperature and humidity history with a trend overview for analysis.
Analyze the last 30 days of whole-home power usage sensor data, identify periods significantly above the normal baseline, and describe possible anomaly patterns.
Outputs anomalous time periods, anomaly severity, and a brief assessment of suspicious usage patterns.
Run a Flux query to count motion sensor triggers in each room over the last 24 hours, sorted from highest to lowest.
Returns trigger counts sorted by room, useful for activity analysis or automation optimization.
Query, write, and manage InfluxDB databases and tokens via MCP clients.
Query and explore InfluxDB v1 time-series data through AI using InfluxQL.
Use one MCP server for filesystem, database, web, and system operations.
Securely connect to and operate MySQL databases through the MCP protocol.
Let AI access Redmine projects, issues, and time data in natural language.
Connect home automation systems for AI-driven device status checks and control.