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A persistent DuckDB MCP server lets AI assistants query CSV, Parquet, and cloud data in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "duckdb-mcp" yet — see the docs or source repo.
Use duckdb-mcp to load the local file sales.csv, then calculate total monthly sales and year-over-year change using natural language.
Returns a table of monthly sales totals with a short year-over-year change explanation.
Use duckdb-mcp to query events.parquet and return daily active users and total event counts, sorted by date.
Outputs daily rows with active user counts and total event volume.
Run duckdb-mcp in read-only mode, query cloud://bucket/events.parquet, and count anomaly log records.
Returns the anomaly count and confirms that no write or mutation operations were performed.
A data analyst can let AI read a CSV report and run aggregations directly, reducing manual SQL effort during weekly reporting.
Developers can integrate this MCP tool into AI assistants so repeated structured queries use a persistent DuckDB engine.
For verification-only workflows, read-only mode can be used to query cloud data files and reduce the risk of accidental writes.
It is a lightweight MCP server that provides a persistent DuckDB SQL engine for AI assistants, enabling natural-language querying of CSV, Parquet, and cloud data.
The provided details only describe capabilities (persistent engine, supported query types, 12 tools, optional read-only). Runtime, setup steps, and credentials are not specified; check the source repository.
It is exposed as an MCP service for AI assistants and emphasizes persistent DuckDB use with natural-language querying; for full comparison details, refer to the source repository.
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Query CSV and Excel files with read-only SQL using DuckDB.
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