reasoning benchmark
MCP Atlas
MCP Atlas is a benchmark for evaluating AI models on scaled tool use capabilities, measuring how well models can coordinate and utilize multiple tools across complex multi-step tasks.
Updated Aug 11, 2026
Models31
Model coverage31
MetricScore
EvidenceB
MCP Atlas Ranking
Higher score ranks better on this benchmark.
MCP Atlas Score Distribution
A closer view of the leading scores on this benchmark.
MCP Atlas Highlights
The leading models and scores on this benchmark.
What is MCP Atlas?
What MCP Atlas measures and how its scores work.
MCP Atlas is a benchmark for evaluating AI models on scaled tool use capabilities, measuring how well models can coordinate and utilize multiple tools across complex multi-step tasks.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MCP Atlas
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mcp-atlas|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MCP Atlas.
Which model scores highest on MCP Atlas?
Muse Spark 1.1 is currently ranked first with 88.1%.
What does MCP Atlas measure?
MCP Atlas is a benchmark for evaluating AI models on scaled tool use capabilities, measuring how well models can coordinate and utilize multiple tools across complex multi-step tasks.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
31 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.