Detect anomalies in CSV data using customizable methods and sensitivity levels to identify irregularities and ensure data integrity within the MCP server's CSV Editor.
MIT License
46,565 tools. Last updated 2025-12-25 02:19
- Retrieve the most recent glucose reading for a user, including value, unit, timestamp, and data source to support diabetes management and health monitoring.
- Identify data points that deviate from normal patterns using statistical and machine learning methods for data quality assessment and anomaly detection in analytical workflows.
- Retrieve cooking standards and preparation guidelines for specific dishes or cooking methods from food service documentation.
- Retrieve file metadata like size and line count without accessing file contents. Helps determine optimal reading strategies for large files by analyzing file characteristics first.MIT License
- Roll D&D 5e skill checks, ability checks, saving throws, attack rolls, and initiative for your character during RPG sessions.
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