Connect-MCP

Claim Grounding

io.github.truepointmarketingpartners-dotcom/claim-grounding · v1.4.7

Fact-check AI answers with cited sources. Pay per call in USDC on Base via x402.

MCPremoteno credentialsNews

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 88/100

What it does: 4 tools · 4 read, 0 write · Finance, AI & LLM, Health

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://claim-grounding.prospectintel.workers.dev/mcp

Tools

4 tools listed at last check
  • extract_claims Split a text (for example an AI-generated answer) into atomic factual claims. Each claim includes span, grounding_required, claim_type (number|date|quantity|quote|named_entity_fact|comparison|opinion|prediction|other), check_worthiness (high|medium|low), and the source sentence. Hedges are stripped,
  • verify_claim Check one factual claim against public Wikipedia sources and return a verdict (supported, contradicted, outdated, mixed or insufficient_evidence), a confidence score, a short reason, the supporting quote and the source URL. Says insufficient_evidence instead of guessing. Price: $1.00 USDC on Base pe
  • check_answer Fact-check a whole answer: extracts every checkable claim and verifies each against Wikipedia, plus Wikidata structured facts for dates, numbers, quantities, ordinals and records. Returns per-claim verdict, confidence, quote, source URL, sentence span and suggested_correction (quoted only from cited
  • deep_verify Multi-source verification of up to three claims in a text against Wikipedia, Wikidata, Google News, Europe PMC (PubMed studies), FRED (US economic data) and SEC EDGAR (US company filings). Returns verdict, confidence, evidence for and against with quotes and URLs, and flags contradiction when source

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