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hernaninverso/eleata-verify-mcp

by Various

MCP server: grounding/hallucination guard — verify a claim against evidence (Supported/Refuted/NEE) for AI agents

MCP

hernaninverso/eleata-verify-mcp

Added 13 July 2026

Overview

An MCP server that checks a claim against provided evidence and returns a verdict of Supported, Refuted, or NEE (Not Enough Evidence). It acts as a grounding or hallucination guard for AI agents by validating factual assertions.

Best for

Best for
Developers building AI agents that need a lightweight, rule-based fact-checking step against known sources.

Use cases

  • Verify an AI agent's output against source documents before presenting to users
  • Check a user-submitted claim against a knowledge base for fact-checking
  • Add a validation step in a retrieval-augmented generation pipeline

How to use

Tools exposed

  • verify_claim
  • check_groundedness
  • verify_strict

Example client config

{\n  "mcpServers": {\n    "eleata-verify": {\n      "command": "npx",\n      "args": ["-y", "eleata-verify-mcp"],\n      "env": { "EVERIFY_API_KEY": "your_key" }\n    }\n  }\n}

Notes

An MCP server that checks a claim against provided evidence and returns a verdict of Supported, Refuted, or NEE (Not Enough Evidence). It acts as a grounding or hallucination guard for AI agents by validating factual assertions.

0 stars on GitHub. Last updated 2026-06-30.

Use cases

  • Verify an AI agent’s output against source documents before presenting to users
  • Check a user-submitted claim against a knowledge base for fact-checking
  • Add a validation step in a retrieval-augmented generation pipeline

Pros

  • Simple, focused API with clear three-state verdicts
  • Lightweight JavaScript implementation easy to integrate into MCP-based workflows
  • Directly addresses hallucination risk in agentic systems

Cons

  • No stars or community adoption yet, so reliability is unproven
  • Requires users to supply evidence, limiting use to scenarios with available source material
  • No built-in evidence retrieval or search, only verification against provided text

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple, focused API with clear three-state verdicts
  • Lightweight JavaScript implementation easy to integrate into MCP-based workflows
  • Directly addresses hallucination risk in agentic systems

Cons

  • No stars or community adoption yet, so reliability is unproven
  • Requires users to supply evidence, limiting use to scenarios with available source material
  • No built-in evidence retrieval or search, only verification against provided text

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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