mcpbr is an open-source benchmark runner designed to evaluate the performance of Model Context Protocol (MCP) servers and AI agents. It provides quantitative metrics across 25+ categories, including code generation, reasoning, and tool use, allowing developers to compare tool-assisted agent performance against baselines. The platform offers a CLI-based solution for standardized evaluation and result visualization.

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