TrustAI Verification

Neutral referee for legal-AI output: flags orphan quotes and uncited claims. Not legal advice.

Should I use this

Quality & Safety

B
Description quality
88%
Schema completeness
48%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'get_descriptor' description lacks action verbin get_descriptor

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~420Tokens (tool definitions)
~299 BTypical response size
Minimal attention impact (0.33% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "trustai-verify": {
      "url": "https://trustailaw.com/api/mcp"
    }
  }
}

Remote endpoints

https://trustailaw.com/api/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢get_descriptor

Return the TrustAI Verification MCP self-description: operator, what the server verifies, the public tools, the boundary it never crosses (it never adjudicates), and links to the public surfaces.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢list_checks

Return the structural checks this server performs on legal-AI output, and — explicitly — what it never claims. Information, not legal advice.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_health

Return server health: process uptime and a deterministic engine self-check (the structural detectors run on a fixed sample and return the expected flag counts). Local-only; no database on the path.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
⚪review_legal_text(text)

Independently review legal text produced by ANY AI vendor for the structural red-flags behind fabrication risk: (1) orphan quotations — a quoted span with no citation in its sentence; (2) uncited propositions — a legal proposition stated as established with no citation. Returns each flag with the exact passage and a plain structural observation, FOR YOUR REVIEW. It is a neutral referee: it never tells you the answer is right or wrong, never adjudicates, and abstains (returns no flags) on any fault rather than fabricating one. Deterministic and local — no external lookup. (Live case-citation existence checking against CourtListener runs on the website verifier at /verify; multi-model cross-validation runs in TrustAI's document-analysis engine and the licensed pilot — neither runs on this load-safe tool.)

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "The legal text to review (a memo, brief, or answer from any AI vendor). Max 200000 chars."
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded4 tools
verifiedversion not recorded4 tools