Search: data-quality
Search MCP servers and agent skills by name, description, category or topic — 5 results.
DataEval/dingo
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.
rbmuller/scherlok
Zero-config data quality monitoring across Postgres, BigQuery, Snowflake, MySQL, and DuckDB. Profile a warehouse, detect anomalies (volume, schema drift, freshness, NULLs, distribution, cardinality), with optional dbt manifest lineage. Read-only — connection resolved server-side, never passed via the model.
haiiibin/data-profiler-mcp
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`.
aegis-dq/aegis-dq
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.
Sudhan30/freshprobe
Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN verdicts with NIST AI RMF mapping. CLI + MCP server + HTTP API with Prometheus metrics and YAML policy engine.