Data Quality MCP Server

Connect your account, then chat with AI to run tools.

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

9 tools

Agent guide included

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Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.

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AI Skill
SKILL.md

Domain knowledge for Data Quality — workflow patterns, data models, and gotchas for your AI agent.

PostgreSQL — Data Quality

Profile columns, surface duplicate keys, validate declared constraints, study null-heavy patterns, prove foreign keys still line up, assemble holistic quality summaries, and flag numeric outliers before they hit production dashboards.

Tools in this Server (9)

Postgres Check Referential Integrity

Find orphaned foreign key references - rows that reference non-existent parent rows. Critical for data integrity validation.

Postgres Data Quality Report

Generate detailed data quality report including duplicates, NULLs, constraint violations, and referential integrity. One-stop analysis for data qualit...

Postgres Detect Outliers

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

Postgres Find Duplicates

Find duplicate rows based on specified columns. Returns groups of duplicates with counts. Essential for data quality audits and cleanup.

Postgres Find Null Patterns

Analyze NULL value distribution across columns. Shows which columns have high NULL percentages and identifies data quality issues.

Postgres Get Ai Description

Get compact, token-efficient database schema description optimized for AI text-to-SQL. Returns tables with columns, types, relationships, and sample v...

Postgres Get Enum Values

Find columns with enum-like behavior (limited distinct values) and show value frequencies. Useful for understanding categorical data and identifying c...

Postgres Profile Column

Profile a column's data distribution: min, max, avg, median, distinct count, null percentage, and most frequent values. Replaces writing multiple anal...

Postgres Validate Constraints

Validate that all constraints (CHECK, NOT NULL, UNIQUE, FOREIGN KEY) are satisfied. Finds rows that violate constraints.

Frequently Asked Questions

What is the Data Quality MCP server?

Profile data, find duplicates, and validate quality. Analyze column statistics, detect outliers, validate constraints, and ensure data integrity. It provides 9 tools that AI agents can use through the Model Context Protocol (MCP).

How do I connect Data Quality to my AI agent?

Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/postgres-data-quality. Authentication is handled automatically.

How many tools does Data Quality provide?

Data Quality provides 9 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.

What authentication does Data Quality require?

Data Quality uses API Key. PostgreSQL requires credentials. Connect via MCPBundles and authentication is handled automatically.

Setup Instructions

Connect Data Quality to any MCP client in minutes

https://mcp.mcpbundles.com/bundle/postgres-data-quality

What is MCP?

Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.