imf-mcp-server

Quality 85 / 100good

5 tools, about 3,251 tokens to load them all · tool set ed41a2c30860 · tools last changed 2026-10-16 · checked 2026-10-20 15:57 UTC

Tool changes

• 2026-10-16imf_dataframe_querychangedoutput schema
• 2026-10-16imf_query_datasetchangeddescription, input schema, output schema
  before

  Query an IMF SDMX dataflow by dimension key over a time range. Returns observations with time_period, value, and status, plus the unit, scale, and decimals of each series — a key resolving to several series carries one entry per series in series_metadata, since unit and scale differ between them. Requires imf_get_database first to obtain the correct key_format and valid dimension codes. Country codes are ISO 3-letter (USA, GBR, DEU — not US, GB, DE). Key format: dot-separated codes in DSD keyPosition order (e.g. USA.NGDP_RPCH.A for WEO). Every position must carry a code: use + to combine codes (e.g. USA+GBR.NGDP_RPCH.A) and * to match every code at a position (e.g. *.NGDP_RPCH.A for all countries); * stands alone and cannot join a + list. Codes are matched case-insensitively and checked against each dimension's codelist before the query — an unknown code is rejected with the nearest valid codes. Codelists from imf_get_database enumerate the code universe, not actual coverage — valid codes can still return no_data if the combination has no series. start_period and end_period must be valid period strings (YYYY, YYYY-SN, YYYY-QN, YYYY-MM, or a calendar-valid YYYY-MM-DD) with start_period no later than end_period; malformed or reversed ranges are rejected. A bound covers the whole period it names, so end_period 2023 includes 2023-M12 and 2023-Q4. last_n_observations keeps each series' last N observations — 1 is each series' latest value, the cheap way to ask many countries for their latest figure. Values are in base units everywhere, staged canvas rows included: scale is the power of ten the IMF publishes a series in (value / 10^scale is the published figure), never a factor still to apply. A response is held to 100,000 serialized characters. With DataCanvas enabled (CANVAS_PROVIDER_TYPE=duckdb), a larger result (multi-country, long time range) spills to it: call imf_dataframe_describe first to inspect staged tables and columns, then imf_dataframe_query for SQL analysis. Without DataCanvas, a larger result returns its earliest observations with truncated=true, and retrieval_guidance names the last period returned and how to narrow the query.

  after · 88% of words in common

  Query an IMF SDMX dataflow by dimension key over a time range. Returns observations with time_period, value, and status, plus the unit, scale, and decimals of each series — a key resolving to several series carries one entry per series in series_metadata, since unit and scale differ between them. An index series also carries the reference_period it is based on (e.g. 2010A, 2010=100) exactly as published, on the series and, where the dataflow publishes one per observation, on each observation. Requires imf_get_database first to obtain the correct key_format and valid dimension codes. Country codes are ISO 3-letter (USA, GBR, DEU — not US, GB, DE). Key format: dot-separated codes in DSD keyPosition order (e.g. USA.NGDP_RPCH.A for WEO). Every position must carry a code: use + to combine codes (e.g. USA+GBR.NGDP_RPCH.A) and * to match every code at a position (e.g. *.NGDP_RPCH.A for all countries); * stands alone and cannot join a + list. Codes are matched case-insensitively and checked against each dimension's codelist before the query — an unknown code is rejected with the nearest valid codes. Codelists from imf_get_database enumerate the code universe, not actual coverage — valid codes can still return no_data if the combination has no series. When a + key returns data for some requested series and none for others, missing_series names each empty one with the reason a query for it alone gives (no_data or no_data_in_range). When the extra request that recovers the unit, scale, or decimals a + key suppresses fails, unresolved_attributes names them and how to get them. start_period and end_period must be valid period strings (YYYY, YYYY-SN, YYYY-QN, YYYY-MM, or a calendar-valid YYYY-MM-DD) with start_period no later than end_period; malformed or reversed ranges are rejected. A bound covers the whole period it names, so end_period 2023 includes 2023-M12 and 2023-Q4. last_n_observations keeps each series' last N observations — 1 is each series' latest value, the cheap way to ask many countries for their latest figure. Values are in base units everywhere, staged canvas rows included: scale is the power of ten the IMF publishes a series in (value / 10^scale is the published figure), never a factor still to apply. A response is held to 100,000 serialized characters. With DataCanvas enabled (CANVAS_PROVIDER_TYPE=duckdb), a larger result (multi-country, long time range) spills to it: call imf_dataframe_describe first to inspect staged tables and columns, then imf_dataframe_query for SQL analysis. Without DataCanvas, a larger result returns its earliest observations with truncated=true, and retrieval_guidance names the last period returned and how to narrow the query.

• 2026-10-16imf_get_databasechangedinput schema, output schema
• 2026-10-16imf_list_databaseschangeddescription, input schema, output schema
  before

  List IMF SDMX dataflows available on the portal. Entry point for every query: imf_get_database and imf_query_dataset both require a dataflow id obtained here. Vintage (historical snapshot) dataflows such as WEO_2025_OCT_VINTAGE are excluded by default; set include_vintages=true to include them. Results are paged — 50 per call by default, adjustable with limit and offset — and total_count reports how many dataflows matched. Descriptions are shortened here; imf_get_database returns the full text for a single dataflow.

  after · 96% of words in common

  List IMF SDMX dataflows available on the portal. Entry point for every query: imf_get_database and imf_query_dataset both require a dataflow id obtained here. Vintage (historical snapshot) dataflows such as WEO_2025_OCT_VINTAGE are excluded by default; set include_vintages=true to include them. Results are paged — 50 per call by default and at most 200, adjustable with limit and offset — and total_count reports how many dataflows matched. Descriptions are shortened here; imf_get_database returns the full text for a single dataflow.

• 2026-09-30imf_query_datasetchangeddescription, input schema, output schema
  before

  Query an IMF SDMX dataflow by dimension key over a time range. Returns observations with time_period, value, and status, plus the unit, scale, and decimals of each series — a key resolving to several series carries one entry per series in series_metadata, since unit and scale differ between them. Requires imf_get_database first to obtain the correct key_format and valid dimension codes. Country codes are ISO 3-letter (USA, GBR, DEU — not US, GB, DE). Key format: dot-separated codes in DSD keyPosition order (e.g. USA.NGDP_RPCH.A for WEO). Every position must carry a code: use + to combine codes (e.g. USA+GBR.NGDP_RPCH.A) and * to match every code at a position (e.g. *.NGDP_RPCH.A for all countries). Codelists from imf_get_database enumerate the code universe, not actual coverage — valid codes can still return no_data if the combination has no series. start_period and end_period must be valid period strings (YYYY, YYYY-SN, YYYY-QN, YYYY-MM, or a calendar-valid YYYY-MM-DD) with start_period no later than end_period; malformed or reversed ranges are rejected. A bound covers the whole period it names, so end_period 2023 includes 2023-M12 and 2023-Q4. Large analytical result sets (multi-country, long time range) spill to DataCanvas; call imf_dataframe_describe first to inspect staged tables and columns, then imf_dataframe_query for SQL analysis.

  after · 67% of words in common

  Query an IMF SDMX dataflow by dimension key over a time range. Returns observations with time_period, value, and status, plus the unit, scale, and decimals of each series — a key resolving to several series carries one entry per series in series_metadata, since unit and scale differ between them. Requires imf_get_database first to obtain the correct key_format and valid dimension codes. Country codes are ISO 3-letter (USA, GBR, DEU — not US, GB, DE). Key format: dot-separated codes in DSD keyPosition order (e.g. USA.NGDP_RPCH.A for WEO). Every position must carry a code: use + to combine codes (e.g. USA+GBR.NGDP_RPCH.A) and * to match every code at a position (e.g. *.NGDP_RPCH.A for all countries); * stands alone and cannot join a + list. Codes are matched case-insensitively and checked against each dimension's codelist before the query — an unknown code is rejected with the nearest valid codes. Codelists from imf_get_database enumerate the code universe, not actual coverage — valid codes can still return no_data if the combination has no series. start_period and end_period must be valid period strings (YYYY, YYYY-SN, YYYY-QN, YYYY-MM, or a calendar-valid YYYY-MM-DD) with start_period no later than end_period; malformed or reversed ranges are rejected. A bound covers the whole period it names, so end_period 2023 includes 2023-M12 and 2023-Q4. last_n_observations keeps each series' last N observations — 1 is each series' latest value, the cheap way to ask many countries for their latest figure. Values are in base units everywhere, staged canvas rows included: scale is the power of ten the IMF publishes a series in (value / 10^scale is the published figure), never a factor still to apply. A response is held to 100,000 serialized characters. With DataCanvas enabled (CANVAS_PROVIDER_TYPE=duckdb), a larger result (multi-country, long time range) spills to it: call imf_dataframe_describe first to inspect staged tables and columns, then imf_dataframe_query for SQL analysis. Without DataCanvas, a larger result returns its earliest observations with truncated=true, and retrieval_guidance names the last period returned and how to narrow the query.

• 2026-09-30imf_get_databasechangeddescription, input schema
  before

  Fetch a dataflow's dimension list with a codelist preview for each dimension. Resolves human-readable terms to SDMX codes (e.g. "United States" → USA, "Constant prices" → NGDP_RPCH). Required before imf_query_dataset — SDMX keys are opaque without codelist lookups. Each codelist is capped at the first 50 entries by default, including previews filtered by codelist_filter. Set dimension_id to retrieve one codelist with bounded limit/offset paging after the optional substring filter. Set available_only=true to page codes the dataflow actually publishes, with series and time coverage metadata; availability filtering happens before codelist_filter and paging. The imf://database/{dataflow_id} resource provides the same bounded discovery summary. Country codes are ISO 3-letter (USA, GBR, DEU), not ISO 2-letter (US, GB, DE). The key_format field shows the exact dimension order required by imf_query_dataset. Note: codelists enumerate the code universe, not actual coverage — valid codes can still return no_data if the combination has no series in this dataflow.

  after · 92% of words in common

  Fetch a dataflow's dimension list with a codelist preview for each dimension. Resolves human-readable terms to SDMX codes (e.g. "United States" → USA, "Constant prices" → NGDP_RPCH). Required before imf_query_dataset — SDMX keys are opaque without codelist lookups. Each codelist is capped at the first 50 entries by default, including previews filtered by codelist_filter. Set dimension_id to retrieve one codelist with bounded limit/offset paging after the optional codelist_filter, which keeps codes whose ID or name contains every word given. Set available_only=true to page codes the dataflow actually publishes, with series and time coverage metadata; availability filtering happens before codelist_filter and paging. The imf://database/{dataflow_id} resource provides the same bounded discovery summary. Country codes are ISO 3-letter (USA, GBR, DEU), not ISO 2-letter (US, GB, DE). The key_format field shows the exact dimension order required by imf_query_dataset. Note: codelists enumerate the code universe, not actual coverage — valid codes can still return no_data if the combination has no series in this dataflow.

• 2026-09-30imf_list_databaseschangedinput schema

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.