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Postgres Detect Outliers

Detect statistical outliers in numeric columns using IQR (Interquartile Range) or z-score methods. Useful for data quality analysis and anomaly detection.

Available inData Quality,PostgreSQL

Connect your AI assistant to PostgreSQL via MCP. Works with Claude, Cursor, ChatGPT, and any MCP client.

Provider

This tool works seamlessly with the following service

PostgreSQL

PostgreSQL MCP server for powerful open-source relational database operations. Execute complex queries, manage structured data, support JSON and advanced data types, implement transactions with ACID guarantees, and build scalable database-driven applications. Connect to local databases with: pip install mcpbundles

Available in Bundles

Data Quality

developer tools

Profile data, find duplicates, and validate quality. Analyze column statistics, detect outliers, validate constraints, and ensure data integrity.

PostgreSQL

developer tools

All PostgreSQL tools

Tool Information

Status
Active
CreatedNovember 3, 2025
UpdatedMarch 6, 2026

How to use this tool

  1. Install the MCP bundle in your AI client
  2. Connect your PostgreSQL account
  3. Ask your AI to use this tool
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Postgres Detect Outliers [A94] - Postgres Data Quality • MCP Tools