Server data from the Official MCP Registry
Grounding/hallucination guard: verify a claim against evidence (Supported/Refuted/NEE).
Grounding/hallucination guard: verify a claim against evidence (Supported/Refuted/NEE).
This is a well-designed MCP server for claim verification with proper authentication, secure credential handling, and appropriate input validation. The server requires an API key (EVERIFY_API_KEY) sent via standard Bearer token or RapidAPI key headers, implements reasonable rate-limiting and timeout handling, and validates input sizes before transmission. No malicious patterns, code injection vulnerabilities, or dangerous operations were detected. The primary observation is that credentials are transmitted to an external API, which is appropriate given the server's stated purpose and documented in the privacy policy. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: EVERIFY_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-hernaninverso-eleata-verify-mcp": {
"env": {
"EVERIFY_API_KEY": "your-everify-api-key-here"
},
"args": [
"-y",
"eleata-verify-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
A grounding / hallucination guardrail for AI agents. Give it a claim and supporting
evidence; it returns whether the evidence Supports / Refutes / gives Not Enough Evidence
for the claim (natural-language inference), with a confidence and an abstained flag for
low-confidence cases. Wraps the hosted eleata Claim Verifier.
Use it as a fact-check / RAG hallucination guard: before an agent trusts or repeats a statement, check it against its source. Treat
abstained=true(or any verdict other than Supported) as "do not rely".
| Tool | What it does |
|---|---|
verify_claim(claim, evidence) | Is the claim supported by the evidence? Verdict + confidence + abstained. |
check_groundedness(answer, context) | RAG guard: is the model's answer grounded in the retrieved context? |
verify_strict(claim, evidence) | Same, with a higher abstention threshold — for compliance/legal where a wrong "Supported" is costly. |
{
"mcpServers": {
"eleata-verify": {
"command": "npx",
"args": ["-y", "eleata-verify-mcp"],
"env": { "EVERIFY_API_KEY": "your_key" }
}
}
}
Get a key at https://eleata.io/checkout?p=verifypro (paid channel, sent as Authorization: Bearer).
For the RapidAPI marketplace channel, set EVERIFY_RAPIDAPI=1 and EVERIFY_API_BASE to the RapidAPI host
(the key is then sent as X-RapidAPI-Key).
Confidence is uncalibrated on the public channels (not a probability) — rely on the verdict and the
abstained flag, not the raw number. The engine is a multilingual NLI model (mDeBERTa-v3-mnli-xnli).
verify sends your claim + evidence to the hosted API; see https://eleata.io/privacy/.
MIT licensed.
Be the first to review this server!
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
by Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption