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Best LLMs for tool use

MCP-Atlas

MCP-Atlas evaluates real-world tool use through the Model Context Protocol. It tests tool discovery, choosing correct arguments, recovering from errors, and combining tool outputs to complete multi-step workflows. The stored results below cover the public subset under the April 2026 protocol.

Updated: Data as of:
Limited reportingNot saturated
Official benchmark
MCP-Atlas results. Each row identifies its benchmark version and evaluation track. Scores from different versions are not directly comparable. Best effort from the latest stored report date per model and version.
Model / creatorVersionReported score
Muse SparkMeta · ProprietaryApr 2026 · Public subset82.4%
Claude Opus 4.7Anthropic · ProprietaryApr 2026 · Public subset80.8%
Gemini 3.1 ProGoogle · ProprietaryApr 2026 · Public subset80.6%
GPT-5.5OpenAI · ProprietaryApr 2026 · Public subset79.4%
Claude Opus 4.6Anthropic · ProprietaryApr 2026 · Public subset79%
View all 5 published reports