oecd-mcp-server

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.cyanheads/oecd-mcp-server and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.

Tools this endpoint exposes

Read directly from the endpoint on 24 Oct 2026. Not supplied by the maker.

• oecd_list_agencies

  List OECD SDMX agencies, the directorate each belongs to, and the number of dataflows each publishes. Use to discover agency IDs before filtering oecd_search_datasets by department.

• oecd_search_datasets

  Search OECD dataflows by keyword or theme, matching against dataflow names and descriptions. Returns flow_ref identifiers, names, and agency IDs for use with oecd_get_dataset_info.

• oecd_get_dataset_info

  Fetch a dataflow's dimensions, their order, and how to construct a query key. Returns per-dimension names, codelist references, and position in the dot-delimited key. Required before calling oecd_quer

• oecd_get_dimension_values

  Fetch the valid codes and labels for one dimension of a dataflow. Use to resolve human-readable names (countries, measures) to SDMX codes before querying with oecd_query_dataset. Pass query to match a

• oecd_query_dataset

  Fetch observations from an OECD dataflow filtered by a dimension key and optional time range. Returns decoded rows (one per observation) with dimension and attribute labels, and values already scaled

• oecd_dataframe_describe

  List tables and columns staged on a DataCanvas by a prior oecd_query_dataset spill. Call this before oecd_dataframe_query to discover exact table and column names for SQL. Only available when CANVAS_P

• oecd_dataframe_query

  Run a read-only SQL SELECT against OECD observation tables staged on a DataCanvas by oecd_query_dataset. Call oecd_dataframe_describe first to discover exact table and column names, then use this tool