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MCP-Universe

A benchmark from Salesforce AI Research that evaluates LLMs and agents on real-world Model Context Protocol (MCP) server tasks across six domains (location navigation, repository management, financial analysis, 3D design, browser automation, web searching), measuring end-to-end task success rate.

Tool useOverall Success RateHigher is better

What this benchmark measures

A benchmark from Salesforce AI Research that evaluates LLMs and agents on real-world Model Context Protocol (MCP) server tasks across six domains (location navigation, repository management, financial analysis, 3D design, browser automation, web searching), measuring end-to-end task success rate.

Rows on this page are sourced from public benchmark artifacts, leaderboard exports, or source-linked model reports. Each row keeps benchmark version, source model name, and available run details attached to the score.

The metric shown here is Overall Success Rate. It should be interpreted within MCP-Universe, not compared as part of a site-wide ranking.

No composite ranking
evals.report never combines benchmarks. Overall Success Rate on MCP-Universe is its own number — don’t average it with other metrics.