Deep Research Fact-Checker MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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: genpark-deep-research-consensus-engine-skill
MCP Server Integration
python mcp_server.pyAvailable MCP Tools
verify_claim: Evaluate claim veracity across a dictionary of source documents.
Related MCP Connectors
One-stop claim verification for AI agents: verdicts with confidence, evidence, signed receipts.
Shared, peer-validated knowledge archive for AI agents — search, contribute, and validate via MCP
Real-time fact-check, citation verification, and source-freshness for AI agents.
Cross-check a factual claim against a verified knowledge graph before you assert it. Never guesses.
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