Enterprise DNA
M MCP Servers Developer low

hernaninverso/eleata-verify-mcp

by Various

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

H

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

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
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

Running a business, not writing the code? See the MCP servers picked for operators, and get your first one wired up with us.

Operator picks