New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
MCP Atlas benchmark
AI model leaderboard for the MCP Atlas benchmark. Compare how large language models score on MCP Atlas, see the full ranking, and understand what this AI benchmark measures. Gemini 3.5 Flash currently leads with 83.6%. Agentic tool-use benchmark over Model Context Protocol servers.
Leaderboard
| # | Model | Organization | Score | Variant | Source |
|---|---|---|---|---|---|
| #1 | Gemini 3.5 Flash | Google DeepMind | 83.6% | official ↗ |
Frequently asked questions about MCP Atlas
What is the MCP Atlas benchmark?
Agentic tool-use benchmark over Model Context Protocol servers.
How is the MCP Atlas benchmark scored?
MCP Atlas is scored using the accuracy (%) metric, where a higher score is better. The maximum achievable score is 100.000. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.
Which AI model scores highest on MCP Atlas?
As of the latest reported scores on GenAIList, Gemini 3.5 Flash achieves the highest result on MCP Atlas with a score of 83.6%.
Is a higher MCP Atlas score better?
Yes. On MCP Atlas a higher score indicates better performance, so models near the top of the leaderboard are the strongest.