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
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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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