Eleata Verify Mcp
@hernaninverso
About Eleata Verify Mcp
Grounding / hallucination guard: verify a claim against evidence
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"eleata-verify": {
"command": "npx",
"args": [
"-y",
"eleata-verify-mcp"
],
"env": {
"EVERIFY_API_KEY": "your_key"
}
}
}
}Tools
3Fact-check a claim against a piece of evidence using natural-language inference. Returns a grounded verdict — Supported, Refuted, or Not Enough Evidence — with a confidence (0..1) and an `abstained` flag. Use it to check whether a statement is actually backed by a source before trusting or repeating it. If `abstained` is true, treat the result as 'cannot verify — do not rely'.
Hallucination guard for RAG / agent answers. Pass the model's generated answer and the retrieved context; returns whether the answer is grounded in the context. Treat any verdict other than 'Supported', or `abstained=true`, as 'ungrounded / likely hallucination' and have the agent retract or re-retrieve.
Same as verify_claim but with a raised abstention threshold — abstains more readily. Use when a wrong 'Supported' is costly (compliance, legal, medical-adjacent) and the agent must not over-assert.
Overview
What is Eleata Verify Mcp?
Eleata Verify Mcp is a grounding and hallucination guardrail for AI agents. It takes a claim and supporting evidence, then returns a natural-language inference verdict (Supports, Refutes, Not Enough Evidence) with a confidence score and an abstained flag for low-confidence cases. It wraps the hosted eleata Claim Verifier API.
How to use Eleata Verify Mcp?
Install via npx -y eleata-verify-mcp and set the EVERIFY_API_KEY environment variable (get a key at eleata.io). Configure in your MCP client as an mcpServers entry. Invoke one of three tools: verify_claim(claim, evidence), check_groundedness(answer, context), or verify_strict(claim, evidence) for a higher abstention threshold.
Key features of Eleata Verify Mcp
- Natural-language inference verdict (Supports / Refutes / Not Enough Evidence)
- Abstained flag for low-confidence predictions
- Three tools:
verify_claim,check_groundedness,verify_strict - Multilingual model (mDeBERTa-v3-mnli-xnli) behind the API
- Two API channels: direct (Bearer token) and RapidAPI marketplace
- Confidence uncalibrated on public channels; rely on verdict and abstained flag
Use cases of Eleata Verify Mcp
- Fact-check a claim against source evidence before an agent trusts it
- RAG hallucination guard: verify a model's answer is grounded in retrieved context
- Compliance or legal workflows where a wrong “Supported” verdict is costly
- Any application needing a quick verdict with an explicit “do not rely” signal
FAQ from Eleata Verify Mcp
How does Eleata Verify Mcp differ from a simple keyword match?
It uses a multilingual natural-language inference model (mDeBERTa-v3-mnli-xnli) to understand whether the evidence logically supports, refutes, or is insufficient for the claim — not just keyword overlap.
What are the runtime dependencies?
The server runs via npx (Node.js). An API key is required, obtainable from eleata.io (paid channel). No local model downloads; all inference happens on the hosted API.
Where does my data go?
The claim and evidence you send are transmitted to the hosted eleata API. See eleata’s privacy policy at https://eleata.io/privacy/ for details.
How are authentication and transport handled?
For the direct channel, the API key is sent as an Authorization: Bearer header. For the RapidAPI channel, set EVERIFY_RAPIDAPI=1 and EVERIFY_API_BASE to the RapidAPI host; the key is then sent as X-RapidAPI-Key.
What limits or caveats should I know about?
Confidence on public channels is uncalibrated – it is not a probability. Always rely on the verdict and the abstained flag, not the numeric confidence. Treat abstained=true or any verdict other than “Supported” as “do not rely”.
Frequently asked questions
How does Eleata Verify Mcp differ from a simple keyword match?
It uses a multilingual natural-language inference model (mDeBERTa-v3-mnli-xnli) to understand whether the evidence logically supports, refutes, or is insufficient for the claim — not just keyword overlap.
What are the runtime dependencies?
The server runs via `npx` (Node.js). An API key is required, obtainable from eleata.io (paid channel). No local model downloads; all inference happens on the hosted API.
Where does my data go?
The claim and evidence you send are transmitted to the hosted eleata API. See eleata’s privacy policy at https://eleata.io/privacy/ for details.
How are authentication and transport handled?
For the direct channel, the API key is sent as an `Authorization: Bearer` header. For the RapidAPI channel, set `EVERIFY_RAPIDAPI=1` and `EVERIFY_API_BASE` to the RapidAPI host; the key is then sent as `X-RapidAPI-Key`.
What limits or caveats should I know about?
Confidence on public channels is **uncalibrated** – it is not a probability. Always rely on the verdict and the `abstained` flag, not the numeric confidence. Treat `abstained=true` or any verdict other than “Supported” as “do not rely”.
Basic information
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