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Paul0Anselmi

mcp-data-explorer

by Paul0Anselmi

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    • 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.
      18 PyPI
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to run SQL analytics directly on CSV files in place via MCP, avoiding imports and token-heavy data pasting. It provides read-only querying, schema inspection, and file listing while keeping data local.
      30
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to analyze CSV files by providing statistical analysis and structural summaries via MCP tools.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to analyze large CSV files locally by importing them into SQLite, profiling columns, and running read-only SQL queries without data leaving the machine.
      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