Corroborate MCP

corroborate-mcp

The honest corroboration layer for AI agents. Hand it a claim; it tells you how *independently* that claim is actually being reported — and shows its work.

An AP story echoed by 40 outlets is one origin, not 40 citations. Other verifiers count citations; Corroborate counts independent *origins* — syndication-aware — then publishes its own error rates and discloses coverage gaps. That's the judgment layer raw search and citation-checkers skip.

corroborate_claim("NASA delayed the Artemis III landing")   → CONFIRMED       4 independent origins · conf 0.9

corroborate_claim("Zorblatt Corp acquired Portugal") → UNCORROBORATED 0 origins · conf 0.05

When an agent should call this

• Before relying on a current-event / news claim — is it independently reported, or one source echoed everywhere?
• To rank or filter sources by genuine independence, with a confidence score.
• When you need a verdict you can defend — every answer ships its evidence, its confidence, and its own caveats.

Not a web search engine (use Exa/Tavily/Brave for that) and not a human fact-checking network. It's the narrow, honest primitive in between: *how independently is this reported?*

Why it's trustworthy — by design

What it measures — and what it doesn't

*Reporting corroboration*, not truth. A claim every outlet syndicated from one wire story comes back SINGLE_SOURCE. A claim nobody covers comes back UNCORROBORATED even if true. The verdict states exactly what was measured, flags its weaknesses in notes, and sets coverage:"degraded" when an engine was down — so absence of evidence is never quietly sold as evidence of absence.

Quickstart

Requires Node ≥ 18. No keys, no config.

Claude Code

claude mcp add corroborate -- npx -y corroborate-mcp

Claude Desktop / Cursor / any MCP client (claude_desktop_config.json, .cursor/mcp.json, …)

{ "mcpServers": { "corroborate": { "command": "npx", "args": ["-y", "corroborate-mcp"] } } }

Try it with no MCP client

npx corroborate-mcp   # starts the stdio server (silent = healthy)

or from a checkout: node cli.js "The Federal Reserve held interest rates steady"

Tools

corroborate_claim — the verdict

{ claim, window_days?=7, max_sources?=8 } →

{

"claim": "Acme Corp acquires Widget Industries for $2 billion", "corroboration": "CONFIRMED", "n_independent_sources": 3, "confidence": 0.9, "coverage": "full", "sources": [ { "headline": "Acme Corp to acquire Widget Industries in $2 billion deal", "outlet": "Financial Times", "domain": "ft.com", "url": "https://…", "published_at": "2026-07-09T14:02:00Z", "age_days": 0.9, "wire": false, "echoed_by_n_domains": 1 } ], "notes": ["syndication detected: near-identical headlines across multiple domains collapsed into one origin"], "method": "reporting-corroboration: counts INDEPENDENT story origins (syndication-aware), not raw article count; does not adjudicate truth" }

find_sources — the raw evidence

{ query, window_days?=7, max_sources?=10 } → deduped multi-engine list (outlet, domain, url, date), no verdict. The cheaper primitive when you want the coverage and your own judgment.

Measured accuracy — because you should demand it from any fact-check tool

Against a public 40-claim labeled benchmark (benchmark/ — claims, labels, category definitions, and harness are all public; run it yourself with npm run benchmark). The time-sensitive claims are refreshed from current news so the numbers reflect real accuracy, not staleness. Latest run 2026-07-22:

⚠️ Respect the distorted-claim number — it's the honest ceiling of this tool's blind spot. In the latest run all 6 distorted claims came back CONFIRMED (6/6), because each one distorts a *currently-reported* event, and this tool checks whether independent reporting exists around a claim's topic and entities — it does not do stance detection. So "Samsung *cancelled* the Galaxy Z Fold8" (they unveiled it) or "OpenAI released GPT-6" confirms off the real coverage of the true story. The rule to live by: if a claim's topic is being reported, a distorted version of it will very likely CONFIRM. Read CONFIRMED as *"this topic has independent coverage — now verify the specific facts against the returned sources,"* never as "this exact claim is true." Stance detection is the v1.1 roadmap item. (Recurring events like championships/elections can likewise match the current cycle's coverage — see the stale-claim leaks.)

How the judgment works

1. Search Google News RSS, GDELT, Hacker News in parallel (keywords extracted from the claim; quoted phrases preserved).
2. Relevance gate — an article counts only if its headline genuinely addresses the claim (≥2 core-token hits AND ≥35% of core tokens). Loose topical echoes are discarded; the discard count is reported.
3. Syndication clustering — near-identical headlines across domains (Jaccard ≥ 0.55) collapse into one origin; wire domains flagged.
4. Verdict — independent origins = distinct clusters; confidence rises with origins + cross-engine agreement, falls for wide single-origin echoes; every known weakness goes in notes.

Honest limitations

• No stance detection (the 6/6 above). CONFIRMED = independently *covered*, not verified in every detail.
• English-language, headline-level. Paywalled body text isn't fetched.
• Recency-windowed (default 7 days, max 90). Old claims read UNCORROBORATED — a window statement, not a falsity verdict.
• Independent rewrites of one wire story can occasionally slip clustering; distinct phrasings of one origin can occasionally count as two.
• All engines down → error, never a fake UNCORROBORATED.

Development

npm test              # golden-claim suite — deterministic, no network

npm run test:mcp # MCP stdio handshake + tools/list npm run test:live # live invariants against real engines npm run benchmark # 40-claim labeled accuracy benchmark (live, ~2 min) npm run test:release # all of the above — required green before every release

MIT © Ezra Cohen · github · npm