mcp server
statcite
Official economic statistics with citations: World Bank, IMF WEO, ECB. Verify claimed figures.
Description as published by the maintainer. Source
- version 1.4.2
- active
active — Most recent push to the repository was 2026-08-05.
What this server can do
12 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.
compare_sources(period, country, indicator)- Fetch one indicator for one country from EVERY official source in its chain independently (e.g. World Bank WDI and the IMF WEO/Fiscal Monitor) and see the values side by side, each with its own citation, plus the spread between them. Use when sources disagree, when you need to know WHICH official number to cite, or to check how large the methodological gap is (central vs general government, calendar vs fiscal year, vintage differences). Differences are methodological, never an error by a source — the result says which definition each value carries. Sources that are down report their error in place without sinking the comparison. Required: indicator, country.
country_snapshot(country)- One call for a country's headline economic picture: GDP, GDP growth, GDP per capita, inflation, unemployment, population, current account, trade openness, FDI, life expectancy (World Bank) plus general government debt (IMF DataMapper API, current vintage). Each value carries its own citation. Ideal for country briefs and report openers. Required: country.
fetch(id)- Fetch full data for a result id returned by search (format: 'indicator/<key>/<ISO3>'). Returns the recent observations and the full citation as text. Required: id.
fx_convert(to, date, from, amount)- Convert an amount between currencies using ECB daily reference rates (~30 majors, any date since 1999) or, for ~90 other currencies (BBD, XCD, JMD, KES, …), official annual-average rates from the World Bank — with the method and citations stated explicitly. Pass date='YYYY-MM-DD' for daily or 'YYYY' for annual-average conversion. Required: amount, from, to.
get_indicator(country, end_year, indicator, transform, start_year, latest_only, strict_source)- Get official values for a common economic indicator — inflation, GDP growth, GDP, GDP per capita, unemployment, population, government debt, fiscal balance, current account, trade, FDI, and more — for any country. Returns the observations plus a full citation (source, dataset, series id, canonical URL, license, retrieval date) ready to cite in a report. Use ISO3 codes or plain country names. Start here for most questions; use search_indicators if unsure of the indicator key. Required: indicator, country.
get_series(country, end_year, series_id, transform, start_year, strict_source)- Fetch any supported series by explicit id: 'worldbank/<WDI code>' (needs country), 'imf/<CODE>' (needs country; current-vintage IMF WEO/Fiscal Monitor via the DataMapper API), or 'dbnomics/<PROVIDER>/<DATASET>/<SERIES>' (IMF WEO, OECD, Eurostat and more via DBnomics — dated editions, e.g. 'WEO:2025-04', for vintage-pinned reproducibility). 'fred/<SERIES>' ids are recognized only so the service can return an explanatory disabled response — FRED is permanently disabled here and those ids are never retrievable. Supports year filters and transforms (yoy, pct_change, index). Every response carries a full citation. Prefer get_indicator for common indicators. Required: series_id.
inflation_adjust(amount, country, to_year, from_year)- Convert a nominal amount between years using official CPI: 'what is 100 (1995) worth in 2025 money?' Works for any country with CPI data (default USA). Returns the adjusted amount, the exact index values and formula used, and the citation. Annual-average precision. Required: amount, from_year, to_year.
list_sources- The official sources behind StatCite (World Bank WDI, IMF WEO & Fiscal Monitor via the IMF DataMapper API — with DBnomics as a vintage-pinned fallback, ECB reference rates, FRED disabled), what each covers, its license, and the attribution line to use when citing.
search(query)- Search official economic statistics by free text, e.g. 'inflation barbados' or 'government debt japan'. Returns result ids that can be passed to fetch. Designed for deep-research connectors; for richer control use get_indicator / get_series. Required: query.
search_indicators(query)- Search StatCite's curated indicator registry (World Bank WDI + IMF DataMapper/WEO/Fiscal Monitor) by topic — 'inflation', 'debt', 'unemployment', 'poverty' — and discover additional DBnomics datasets. Returns indicator keys usable with get_indicator/verify_stat, with units and source notes. Required: query.
verify_claims(claims, strict_source)- Fact-check a whole draft or report in one call instead of calling verify_stat once per figure: extract every checkable macro claim from the text — indicator + country + period + claimed value — and submit them together. Each claim gets the same verdict engine as verify_stat (match, close, mismatch, cannot_verify, with diagnostics), and every verified result carries the full citation for the official number. Same honesty contract as verify_stat: unverifiable claims come back cannot_verify with the reason, never a guessed verdict. Accepts 1–15 claims per call (free-tier subrequest budget) — split larger drafts into multiple calls of up to 15. Results come back in input order with a verdict-count summary; a claim that cannot be resolved (unknown indicator or country) reports its error in place without sinking the rest of the batch. Required: claims.
verify_stat(as_of, period, country, indicator, claimed_value, strict_source, tolerance_abs, tolerance_pct)- Check a claimed economic figure (from a draft, article, or memory) against the official statistical series and get a verdict: match, close, mismatch, or cannot_verify — with the official value, the difference, diagnostics for classic errors (wrong year, percent-vs-decimal, unit scaling), and a full citation for the correct number. Honesty contract: when the official source cannot support a judgment (source down, no published value, fallback vintage risk), the verdict is cannot_verify with the reason — never a guess. Supports historical IMF-vintage checks via as_of. Use this before publishing any economic statistic in a report, brief, or article. Required: indicator, period, claimed_value.
Last successful function declaration observed on . Source: https://statcite.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://statcite.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 | 0 | 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 | 2026-08-05 | 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 | 0 | 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 | 1.4.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-28 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | 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 | 2026-07-28 | 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 | 12 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 | statcite.com | |
| mcp endpoint status | ok | The server listed 12 functions when asked. | as of probe | statcite.com |
Where to get it
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These share tags the maintainers applied themselves, such as economics, imf, world-bank, statistics. 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.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, citations, cloudflare-workers, economic-data, economics, fact-checking, gemini-cli-extension, imf, mcp, mcp-server, model-context-protocol, statistics, world-bank.
This record as data
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