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100
MCP live MCP 2026-07-28 streamable-http

LLM Audit

app.llmaudit/llmaudit

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

Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
529ms
last probe
Tools
2
callable
Resources
1
readable
Prompts
0
available
Primary URL
https://mcp.llmaudit.app/mcp
Score: 100/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
2 tools, 1 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
3 items in total; 3 or more earns these points.
pass Describes itself 10/10
80 characters; more than 30 earns these points.

Tools · 2

get_visibility_check

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…

start_visibility_check

Closed: Asked Thrice no longer runs free measurements. Calling it returns status closed and the link to the paid scan at askedthrice.com, which needs an account. Measurements started before the change…

Resources · 1

askedthrice-methodology

How askedthrice measures brand visibility in AI answers

askedthrice://methodology

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://mcp.llmaudit.app/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "llm_audit": {
      "url": "https://mcp.llmaudit.app/mcp",
      "transport": "streamable-http"
    }
  }
}