A
licenseA
qualityC
maintenanceVerifies factual claims against live sources and returns a verdict, confidence score, and citations for any agent to use before stating uncertain facts.
2
6
1
MIT
Deep Research Fact-Checker
by Alpha-Park
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Deep Research Fact-Checkerverify the claim that the Eiffel Tower was completed in 1889 against these sources"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Deep Research Fact-Checker Skill for Autonomous Agents
Critical safety and anti-hallucination engine for autonomous research agents. Cross-references extracted factual claims against multiple independent source documents, computing verification scores and identifying ungrounded claims.
Capabilities
Multi-Source Corroboration: Checks claims against multiple texts to ensure broad factual consensus.
Ungrounded Claim Detection: Flags statements with low lexical overlap or zero citations.
Confidence Scoring: Returns deterministic, normalized confidence metrics (0.0 to 1.0).
Related MCP server: tribunal-mcp
MCP Server Integration
python mcp_server.pyAvailable MCP Tools
verify_claim: Evaluate claim veracity across a dictionary of source documents.
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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