
Corroborate Mcp
io.github.chefcohen由 GitHub 帳號 chefcohen 發布v0.1.3更新於 Oct 24, 2026
Honest claim corroboration for AI agents: syndication-aware independent-source counting.
概覽
本機 MCP 伺服器,用來判斷某項新聞說法被多少獨立來源報導,以獨立來源而非引用數量計數。
- 可以做什麼
- 對一項說法給出佐證結論,附信心分數、覆蓋狀態與來源清單
- 依查詢列出多個新聞引擎去重後的來源,不給出結論
- 標示通訊社來源,以及同一報導被多少網域轉載
- 回報轉載合併、突發新聞連鎖、引擎故障等注意事項
- 適用情境
- 適合在助理準備採信某項時事或新聞說法時,判斷它是被獨立報導,還是單一通訊社稿件被廣泛轉載。也適合在引用前依真實獨立性排序或篩選來源。
- 執行需求
- 透過 npx 以 stdio 在本機執行,需要 Node 18 或更新版本。不需 API 金鑰、帳號或設定;會存取公開新聞來源,因此需要網路連線。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Corroborate Mcp,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
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.
[npm] [downloads] [license] [node] [MCP] [API keys]
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.
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 Desktop / Cursor / any MCP client (claude_desktop_config.json, .cursor/mcp.json, …)
Try it with no MCP client
Tools
corroborate_claim — the verdict
{ claim, window_days?=7, max_sources?=8 } →
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
- Search Google News RSS, GDELT, Hacker News in parallel (keywords extracted from the claim; quoted phrases preserved).
- 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.
- Syndication clustering — near-identical headlines across domains (Jaccard ≥ 0.55) collapse into one origin; wire domains flagged.
- 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
來源:README.md,提交 1da5f99
工具
0版本歷史
1- v0.1.3最新Sep 16, 2026
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