MCP Evals

MCP Evals is a developer tool designed for evaluating Model Context Protocol (MCP) tool implementations. It provides a Node.js package and GitHub Action that leverage LLM-based scoring to assess tools based on metrics such as accuracy, completeness, and relevance. The solution integrates directly into CI/CD pipelines to automate testing and provide actionable feedback on MCP server performance.

LLM mention score

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.

Get Free API Credits API Documentation

How to get LLM mention data →

// Fetch MCP Evals mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "MCP Evals",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]