MCPcat is a developer tool that provides real-time analytics, session replay, and debugging capabilities for Model Context Protocol (MCP) servers. It enables engineering teams to monitor user and agent activity, track tool call performance, and identify errors or hallucinations as they occur. The platform helps AI startups optimize their MCP implementations by offering actionable insights into agent behavior and server health.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSEO API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch MCPcat mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "MCPcat",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]