MCP-Universe

MCP-Universe evaluates LLMs on complex multi-step agentic tasks using Model Context Protocol (MCP) tools across diverse interactive environments, testing planning, tool orchestration, and task completion.

DeepSeek-V3.2 from DeepSeek currently leads the MCP-Universe leaderboard with a score of 0.459 across 1 evaluated AI models.

DeepSeekDeepSeek-V3.2 leads with 45.9%.

Progress Over Time

Interactive timeline showing model performance evolution on MCP-Universe

State-of-the-art frontier
Open
Proprietary

MCP-Universe Leaderboard

1 models
ContextCostLicense
1685B164K$0.26 / $0.38
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FAQ

Common questions about MCP-Universe.

What is the MCP-Universe benchmark?

MCP-Universe evaluates LLMs on complex multi-step agentic tasks using Model Context Protocol (MCP) tools across diverse interactive environments, testing planning, tool orchestration, and task completion.

What is the MCP-Universe leaderboard?

The MCP-Universe leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, DeepSeek-V3.2 by DeepSeek leads with a score of 0.459. The average score across all models is 0.459.

What is the highest MCP-Universe score?

The highest MCP-Universe score is 0.459, achieved by DeepSeek-V3.2 from DeepSeek.

How many models are evaluated on MCP-Universe?

1 models have been evaluated on the MCP-Universe benchmark, with 0 verified results and 1 self-reported results.

What categories does MCP-Universe cover?

MCP-Universe is categorized under agents and tool calling. The benchmark evaluates text models.

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