asokore/statcite

**Economic statistics your AI can actually cite, with a verifier that catches the ones it invents.**
· Live status · AI accuracy benchmark · Licence ledger · Verification guide
*Every figure, verdict and citation above is real output from a live call, captured by tools/make-demo-gif.py at build time. A model recalling 98% is not a strawman: it was roughly right a few years earlier, which is exactly how stale recall sounds.*
Free remote MCP server + REST API serving official economic statistics from the World Bank, IMF WEO and Fiscal Monitor (current vintage via the IMF DataMapper API, with a DBnomics fallback), BIS policy rates, ECB reference rates, and two regional central banks (the Eastern Caribbean Central Bank and the Central Bank of Barbados, covering Anguilla and Montserrat, which the World Bank does not report), where **every number ships with its full citation**: source, dataset, series ID, canonical URL, licence, retrieval date, a ready-to-paste citation sentence, and BibTeX/APA export formats.
The differentiator is **verification, not lookup**: verify_stat checks a claimed figure against the official series and returns match / close / mismatch / cannot_verify with diagnostics for the classic errors (wrong year, percent-vs-decimal, millions-vs-billions, sign flips). On a mismatch it re-judges the claim against the previous IMF vintage, so "was right when written, since revised" is never confused with "wrong". When the source cannot support a verdict, it says cannot_verify with the reason. It never guesses.
**Three things people use it for**
1. **Fact-check a draft.** The fact_check MCP prompt + verify_claims audit every macro figure in a document, in batches of 15, each verdict carrying the citation for the correct number.
2. **Cited data for agent reports.** get_indicator and country_snapshot return official series with paste-ready citations, honest projection labelling, and machine-readable "no published value exists" instead of silent gaps.
3. **Resolve source disagreements.** compare_sources fetches one indicator from every official source in its chain and shows the spread (e.g. general-vs-central government debt definitions), each value with its own citation.
Install in one line
| Client | How |
|---|---|
| Claude (web/desktop) | Open StatCite in Claude's connector directory and click Connect. Fallback: Settings → Connectors → Add custom connector → https://statcite.com/mcp |
| Claude Code | /plugin marketplace add asokore/statcite then /plugin install statcite@statcite (also installs the verify-then-cite skill), or just the server: claude mcp add --transport http statcite https://statcite.com/mcp |
| Cursor | **Install in Cursor** · or {"mcpServers":{"statcite":{"url":"https://statcite.com/mcp"}}} |
| VS Code | **Install in VS Code** · Insiders · or code --add-mcp '{"name":"statcite","type":"http","url":"https://statcite.com/mcp"}' |
| ChatGPT | Developer mode → add MCP server, No Authentication (implements the deep-research search/fetch pair) |
| Cline / stdio-only | npx -y mcp-remote@0.14.3 https://statcite.com/mcp (pinned, so a client restart never pulls a new release. See llms-install.md) |
No signup, no API key, no OAuth.
Side effects
StatCite is a remote server. Over HTTP, calling it installs nothing and runs nothing on your machine. This is what each kind of call does, and where.
| Operation | Calls out from StatCite's server | Writes on your machine | Writes anywhere else | Recorded by StatCite |
|---|---|---|---|---|