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mcp server

worldbank-mcp-server

Query 29,500+ World Bank development indicators for 200+ countries across 60+ years.

Description as published by the maintainer. Source

  • version 0.1.14
  • active

active — Most recent push to the repository was 2026-07-30.

What this server can do

9 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

worldbank_get_country(country_code)
Fetches full metadata for a specific country or aggregate entity: region, income level, capital, coordinates, and lending type. Accepts ISO2 codes (US, DE), ISO3 codes (USA, DEU), or World Bank aggregate codes (EAS, HIC, WLD). Required: country_code.
worldbank_get_data(mrv, page, per_page, countries, date_range, indicator_id)
Queries World Bank indicator values for one or more countries across a time range. The primary data-access tool — use worldbank_search_indicators to find indicator_id values. Returns observations with null values when data is not available for a country×year cell (common for sparse series). Specify either date_range (historical analysis) or mrv (most recent N values), not both. For "all" countries, use pagination (per_page up to 1000) — the API returns several hundred entries per indicator. Required: indicator_id, countries.
worldbank_get_indicator(indicator_id)
Fetches complete metadata for a single World Bank indicator by its ID: name, description, source dataset, source organization, unit, and thematic topics. Use worldbank_search_indicators to discover indicator IDs if you only know the concept. Required: indicator_id.
worldbank_get_poverty(page, year, per_page, countries, fill_gaps, poverty_line, welfare_type, reporting_level)
Queries 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. This is also the tool for inequality and distribution questions — 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 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. Required: countries.
worldbank_list_countries(page, region, per_page, income_level, include_aggregates)
Lists countries and regional aggregates with metadata: ISO codes, region, income level, capital, and coordinates. Filterable by region code (e.g. EAS, SSF, NAC) and income level (LIC, LMC, UMC, HIC). By default, excludes regional/income-group aggregate entries and returns individual countries only. Set include_aggregates=true to also see region, income group, and world aggregate entities.
worldbank_list_sources(page, per_page)
Lists the 70+ World Bank data sources (datasets) such as World Development Indicators, IDS, and Doing Business. Returns source IDs and names for use as source_id in worldbank_search_indicators. Supports pagination.
worldbank_list_topics
Lists all 21 World Bank thematic topics (Economy & Growth, Health, Education, etc.) with descriptions. Use to browse the indicator space or find a topic_id for worldbank_search_indicators.
worldbank_search_indicators(page, query, per_page, topic_id, source_id)
Searches the 29,500+ World Bank indicator catalog by keyword, topic, or source. Returns indicator IDs and metadata for chaining into worldbank_get_data. At least one of query, topic_id, or source_id must be provided. 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 in the query is ignored. Exact ID or name matches rank first, then whole-phrase matches, then ID/name matches, then description-only matches. Each indicator ID appears once, even where the catalog publishes it under two sources. Use worldbank_list_topics for topic IDs, worldbank_list_sources for source IDs.
worldbank_search_projects(page, query, region, status, per_page, countries, approved_to, approved_from, include_abstract)
Searches 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.

Last successful function declaration observed on . Source: https://worldbank.caseyjhand.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://worldbank.caseyjhand.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 2 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-07-30 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 7 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.1.14 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-20 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License Apache-2.0 Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-06-20 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 9 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe worldbank.caseyjhand.com
mcp endpoint status ok The server listed 9 functions when asked. as of probe worldbank.caseyjhand.com

Where to get it

Related, by what their authors tagged them

  • com.datakoot/economy-intel-mcp — last commit 2026-08-02, shares economics, world-bank
    Macro data for AI agents: GDP, inflation, unemployment & trade, any country. No API keys.
  • io.github.asokore/statcite — last commit 2026-08-05, shares economics, world-bank
    Official economic statistics with citations: World Bank, IMF WEO, ECB. Verify claimed figures.
  • World Bank & FRED Macro — last commit 2026-06-11, shares economics, world-bank
    Macro indicators from World Bank, FRED, IMF, and OECD via unified query surface.
  • io.github.cyanheads/bls-labor-mcp-server — last commit 2026-07-17, shares bun, cyanheads, economics
    Fetch US Bureau of Labor Statistics data — CPI, unemployment, wages, JOLTS, and more via MCP.
  • io.github.cyanheads/bls-mcp-server — last commit 2026-07-17, shares bun, cyanheads, economics
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  • io.github.cyanheads/federal-reserve-mcp-server — last commit 2026-07-30, shares bun, cyanheads, economics
    Search and fetch ~800K Federal Reserve economic time-series from the FRED API via MCP.
  • io.github.cyanheads/fred-mcp-server — last commit 2026-07-30, shares bun, cyanheads, economics
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  • io.github.cyanheads/eurostat-mcp-server — last commit 2026-08-04, shares bun, cyanheads, open-data
    Search and query the Eurostat catalogue — EU economy, demography, trade, and NUTS regional data.
  • io.github.cyanheads/faostat-mcp-server — last commit 2026-07-30, shares bun, cyanheads, open-data
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  • io.github.cyanheads/socrata-mcp-server — last commit 2026-07-30, shares bun, cyanheads, open-data
    Search and query government open-data portals (Socrata SODA API).

These share tags the maintainers applied themselves, such as economics, world-bank, bun, cyanheads. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

Also from cyanheads

How the author describes it

Topics the maintainer set on GitHub: ai-agent, bun, cyanheads, development-indicators, economics, mcp, mcp-server, model-context-protocol, open-data, typescript, world-bank, worldbank.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. cyanheads/worldbank-mcp-server on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.
  3. Tools declared by the MCP server at https://worldbank.caseyjhand.com/mcp — worldbank.caseyjhand.com, observed , trust tier 4.