
worldbank-mcp-server
Query 29,500+ World Bank development indicators for 200+ countries across 60+ years.
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Query 29,500+ World Bank development indicators for 200+ countries across 60+ years.
Список инструментов сервера (9)
Технические названия из tools/list. Нужны только разработчикам.
| worldbank_list_topics | List all 21 World Bank thematic topics (Economy & Growth, Health, Education, and others) with descriptions. Use it to browse the indicator space by theme or to find a topic_id for worldbank_search_indicators. |
| worldbank_list_sources | List the 70+ World Bank data sources (datasets), such as World Development Indicators, International Debt Statistics, and Doing Business. Returns source IDs and names for use as source_id in worldbank_search_indicators, one page at a time. |
| worldbank_list_countries | List countries and regional aggregates with metadata: ISO codes, region, income level, capital, and coordinates. Filter by region code (e.g. EAS, SSF, NAC) and income level (LIC, LMC, UMC, HIC). Aggregate entries are excluded by default, leaving individual countries only; set include_aggregates=true to also return region, income group, and world aggregate entities. |
| worldbank_get_country | Fetch metadata for one country or aggregate entity: ISO codes, region, income level, lending type, capital, and coordinates. Accepts an ISO2 code (US, DE), an ISO3 code (USA, DEU), or a World Bank aggregate code (EAS, HIC, WLD); "all" and lists of codes are rejected. Use worldbank_list_countries to browse valid codes. |
| worldbank_search_indicators | Search the 29,500+ World Bank indicator catalog by keyword, topic, or source, returning indicator IDs and metadata for worldbank_get_data. Provide at least one of query, topic_id, or source_id; a topic and a source together narrow to indicators in both. A keyword query matches every term against indicator ID, name, and description, in any word order, across the whole catalog or the whole selected topic or source; punctuation is ignored, so the query needs at least one letter or digit. Exact ID or name matches rank first, then whole-phrase matches, then other ID/name matches, then description-only matches. Each indicator ID appears once, even where the catalog publishes it under two sources. Find topic IDs with worldbank_list_topics and source IDs with worldbank_list_sources. |
| worldbank_get_indicator | Fetch metadata for one World Bank indicator by ID: name, description, unit, source dataset, source organization, and thematic topics. Use worldbank_search_indicators to find the ID when only the concept is known; "all" and lists of IDs are rejected. |
| worldbank_get_data | Query World Bank indicator values for one or more countries across a time range — the primary data-access tool; find indicator_id values with worldbank_search_indicators. Observations carry a null value where data is not available for a country×year cell, which is common for sparse series. Set either date_range (historical analysis) or mrv (most recent N values), not both. For "all" countries, page through the results (per_page up to 1000), since the API returns several hundred entries per indicator. Indicators the standard data endpoint does not serve — WDI Database Archives, PEFA, ICP, GDLD, International Debt Statistics: DSSI, Food Prices for Nutrition — are answered from their own dataset instead; the response then carries sourceScoped, naming that dataset and the release, classification, sector, or counterpart area applied (see dimension_value), because those values can be archived or superseded figures rather than current ones. |
| worldbank_get_poverty | Query poverty and inequality estimates from the World Bank Poverty and Inequality Platform (PIP) for one or more countries. Returns the poverty headcount ratio, poverty gap, and poverty severity at any poverty line, plus mean and median welfare and population. Use it for inequality and distribution questions too — survey-based rows carry the Gini coefficient, mean log deviation, polarization, and the ten decile income/consumption shares, because PIP returns poverty and inequality in the same row. PIP is a separate dataset from the WDI series worldbank_get_data reads: it measures welfare in PPP dollars per person per day, at a PPP vintage ppp_version selects, and covers individual economies only, so regional and income-group aggregate codes are not accepted. Every row reports how it was produced. estimationType "survey" rows carry the full inequality block; "interpolation", "extrapolation", and "CMD estimation" rows are gap-filled estimates for years no survey covers, and their gini, mld, polarization, and decileShares are null — a documented gap in the source data, not an error. |
| worldbank_search_projects | Search the World Bank lending portfolio — the individual loans, credits, and grants the Bank finances — by free text, country, region, status, and board approval date. Returns the project ID, name, borrowing country, region, status, board approval and closing dates, total commitment in USD, financing instrument, major sectors, and a link to the project page. This is the operations catalogue, not the statistics catalogue: use it for "what is the World Bank funding in Kenya", "which climate adaptation projects are active", or "how much was committed to education in South Asia since 2020". For development statistics and time series, use worldbank_search_indicators and worldbank_get_data instead. Countries are identified by ISO2 code here (BR, IN, ZA), which is the one place this server departs from the ISO3 codes its other tools take — worldbank_get_country reports a country's iso2 field for either form, and multi-country operations carry a World Bank regional code such as 3A instead. Every filter is an exact match upstream and combines with the others by AND, so a narrow search can legitimately return nothing; when it does, the response says whether the country codes matched anything on their own. |