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hargurjeet

database-mcp

by hargurjeet

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      B
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      D
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      Agentic data quality MCP server — runs structured validation rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Full audit trail of every AI decision.
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    • A
      license
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      quality
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      Enables autonomous data quality inspection and repair workflows. It scans DuckDB warehouses for anomalies, generates and verifies fixes in a dry-run copy, then applies them after validation, with full audit logging.
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    • F
      license
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      quality
      A
      maintenance
      Enables AI assistants to audit dbt project quality, profile warehouse data, detect schema drift, suggest tests, and generate non-destructive schema.yml documentation through natural language.
      -
    • F
      license
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      quality
      A
      maintenance
      Enables AI assistants to audit dbt project quality, profile warehouse data, detect schema drift, and auto-generate or update documentation and tests through natural language.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and auto-generate non-destructive schema documentation through natural language.
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    • A
      license
      A
      quality
      A
      maintenance
      Zero-config data quality monitoring as MCP tools. Profiles a warehouse (Postgres, BigQuery, Snowflake, MySQL, DuckDB), detects anomalies, and gates CI — read-only with the connection resolved server-side, never via the model.
      6
      49 PyPI
      11
      MIT