Skip to main content
Glama
alphaparkinc

Deep Research Fact-Checker MCP Server

by alphaparkinc
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Deep Research Fact-Checker Skill for Autonomous Agents

MCP Compatible Python 3.9+ License: MIT Zero External Dependencies

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.py

Available MCP Tools

  • verify_claim: Evaluate claim veracity across a dictionary of source documents.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • AgentGround Cross-Check

    Arafel187
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to cross-verify candidate claims against caller-supplied source texts, flagging hallucinations, numerical drift, entity mismatches, contradictions, and unverified assertions. It returns sentence-level verdicts with matched evidence snippets and machine-readable factual grounding confidence scores, exposed over MCP stdio, HTTP REST, and A2A discovery routes.
    1
    MIT
  • genpark-deep-research-consensus-engine-skill by Alpha-Park

    genpark-deep-researchofficial

    Alpha-Park
    F
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to perform deep research across multiple sources, arbitrating consensus while evaluating source authority and detecting contradictions. It integrates via MCP with clients like Claude Desktop and Cursor to deliver deterministic, structured research dossiers.
    7
    -

  • genpark-agent-hallucination

    Alpha-Park
    F
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents and MCP clients to decompose text into atomic claims and cross-verify them against reference knowledge to flag ungrounded claims, numerical contradictions, and hallucinated entities. Runs deterministically with zero dependencies over JSON-RPC stdio, avoiding LLM round-trips for routine verification tasks.
    7
    -