data-quality MCP servers & tools

Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a data-quality audit (missing values, duplicates, mixed types, outliers), and memory-saving dtype suggestions. Pure Python (pandas); files are read locally and nothing leaves your machine. pip install data-profiler-mcp.

Agentic data quality framework that runs structured rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Every LLM decision is audit-logged with cost and latency.

MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.

Profile local CSV, Parquet, JSON and Excel files into a compact data-quality summary.

dbt MCP — manifest/run_results/sources/catalog parsing + DQ result tables (BigQuery/Postgres)

Scout your PostgreSQL databases with AI - safety features, monitoring, and data quality

AI-Ready Data Platform — diagnose, profile, and refine datasets for AI agents via natural language.

DataOps ClickHouse MCP server with query optimization and pipeline monitoring

Scout your MongoDB databases with AI - safety features, live monitoring, and data quality

OpenMetadata MCP — metadata, lineage, search, data quality, OM 1.12+ Data Contracts