VeriGhost-Clarity is answering right now. Last checked moments ago. It exposes 1 tools.
Hallucination validator and factual grounding checker for LLM outputs.
Today is the operative word: we check VeriGhost-Clarity every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.
claude mcp add verighost --transport sse https://verighost-mcp.vercel.app/api/mcp
https://verighost-mcp.vercel.app/api/mcp
[mcp_servers.verighost]
url = "https://verighost-mcp.vercel.app/api/mcp"
{
"mcpServers": {
"verighost": {
"url": "https://verighost-mcp.vercel.app/api/mcp"
}
}
}
{
"servers": {
"verighost": {
"type": "sse",
"url": "https://verighost-mcp.vercel.app/api/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
verify
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://verighost-mcp.vercel.app/api/mcp | sse | needs auth | 90 ms | 0 min ago |
Fact-check and fix AI outputs. Hallucination detection, schema validation, auto-repair.
Output quality control and validation for AI agents
Fact-check LLM outputs with cited sources. API key: aihcc.cloud/keys.
LLM evals as MCP tools: score outputs for faithfulness, relevancy, and hallucination.
JSON contract registry and validator for structured LLM and agent outputs.
Token entropy and n-gram perplexity analyzer auditing LLM outputs for degenerate repetition loops an
Outside-in validation gate for AI-generated text; a separate model checks LLM output, fail-closed.
Local-first MCP server for LLM output verification — risk signals, injection and PII checks.
Answers built from our own checks of this server.