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    • A
      license
      A
      quality
      C
      maintenance
      Enables read-only analytical access to local CSV, Parquet, JSON files or a DuckDB database through MCP, with table discovery, column profiling, guarded SQL querying, and explain plans for safe use with Claude Desktop and Claude Code.
      8
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients like Claude Desktop, Claude Code and Cursor to safely explore local CSV, Excel, Parquet and SQLite files by running guarded read-only DuckDB SQL over a sandboxed data directory. It also supports data profiling, chart generation as image content, and exporting query results, without ever allowing writes or access outside the configured folder.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to explore and analyse local CSV, Parquet or JSON files through validated read-only SELECT queries, with schema discovery, profiling and query-plan tools. Results are capped, timed, PII-masked and audit-logged inside a locked DuckDB sandbox that cannot write, reach the network or read other files.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables language models to run data-quality checks and profiling on local files, using dbt-style assertions like not_null, unique, relationships, and accepted_values.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to audit dbt project health and test coverage, profile data-warehouse columns, detect schema drift, and safely generate documentation and test suggestions into schema.yml files. It runs read-only warehouse queries and non-destructive YAML merges, all through natural-language conversation in Claude Desktop, Cursor, or other MCP clients.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to load and inspect datasets, run read-only SQL with DuckDB semantics, ask natural-language questions that are translated into SQL and summarized, and generate chart specs. It works with any MCP client and optionally uses an OpenAI-compatible model for analysis and visualization tools.
      MIT