LLM Audit

Measure whether AI assistants actually recommend a brand, from measured answers.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
100%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~558Tokens (tool definitions)
~1.8 KBTypical response size
Minimal attention impact (0.44% 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": {
    "llmaudit": {
      "command": "npx",
      "args": [
        "llmaudit-mcp"
      ]
    }
  }
}

Runnable packages

npmllmaudit-mcp0.1.0stdio

Remote endpoints

https://mcp.llmaudit.app/mcpstreamable-http

What it can do

Tool inventory

Tools (2)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢get_visibility_check(runId)

Collect the result of a measurement started with start_visibility_check. Returns status running while the providers are still answering, so poll every 20 to 30 seconds. When ready it reports a verdict, how many of the buyer questions the brand won, which competitors were named instead, and which providers actually answered.

Input Schema

{
  "type": "object",
  "properties": {
    "runId": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "string",
      "description": "From start_visibility_check"
    }
  },
  "required": [
    "runId"
  ]
}
🟢start_visibility_check(brand, website, category, competitors, location, ...)

Measure whether a brand shows up when buyers ask AI assistants for a recommendation. Asks real buyer questions to OpenAI, Anthropic and Gemini and reports what they answered, not what they claim they would answer. Free, no signup, one measurement per domain every 30 days. Returns a runId: call get_visibility_check with it after about a minute. If the domain was already measured this month the response says quota_reached and includes when it ran.

Input Schema

{
  "type": "object",
  "properties": {
    "brand": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "string",
      "minLength": 2,
      "maxLength": 80,
      "description": "Brand name as customers write it"
    },
    "website": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "string",
      "maxLength": 160,
      "description": "Domain, like yourbrand.com"
    },
    "category": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "string",
      "minLength": 2,
      "maxLength": 120,
      "description": "What the business sells, in plain words"
    },
    "competitors": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "description": "Up to 5 real competitors, comma separated",
      "type": "string",
      "maxLength": 220
    },
    "location": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "description": "Where the business competes, like 'Cordoba, Argentina'",
      "type": "string",
      "maxLength": 80
    },
    "language": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "description": "Language the buyer questions are asked in",
      "type": "string",
      "enum": [
        "en",
        "es"
      ]
    }
  },
  "required": [
    "brand",
    "website",
    "category"
  ]
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded2 tools
verifiedversion not recorded2 tools