Enables efficient reading, analyzing, and querying of Excel, CSV, and JSON files with support for chunked processing, column/field filtering, and streaming for large datasets. Supports multiple transport protocols (stdio, HTTP, SSE) for flexible integration.
Enables read-only SQL querying and exploration of data files (CSV, Parquet, JSON, Excel, etc.) via DuckDB, supporting local paths, globs, URLs, and S3 buckets.
Enables data analysis and visualization operations such as loading CSV/Excel/JSON files, computing summary statistics, generating charts, and exploring datasets via SSE/HTTP.
Provides a unified interface to access UNHCR's open data across statistics, RDF, and IATI MCP servers, enabling aggregated queries, cross-domain analytics, and dataset discovery.
Enables accessing and querying Dutch government open datasets from CBS and data.overheid.nl, with tools for searching, filtering, downloading, and analyzing data using CSV, Parquet, DuckDB, or Pandas.
Enables repository QA, funder compliance, CSV index analytics, search/facets, and exports over DataCite monthly and public datafiles, all run locally with stream-read performance.
