MCP-Persona: leaderboard
Metric: Checkpoint accuracy (%): mean LLM-judged score (0, 0.5 or 1) of the sub-task checkpoints in a task, averaged over tasks, all tasks; 173 human-verified personal-application tasks on 12 simulated MCP servers (Lark, Slack, WeCom, Notion, Obsidian, Rednote, Reddit, Instagram, email and search tools), up to 20 tool-calling rounds, GPT-4o judge; higher is better. Source: arxiv.org. Saturation forecast: Around 2031. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.5 | 38.66 |
| 2 | GPT-5 | 36.99 |
| 3 | Claude Opus 4.1 | 34.52 |
| 4 | O4 Mini | 30.7 |
| 5 | O3 | 29.79 |
| 6 | Qwen 3 235B A22B 2507 Instruct | 26.75 |
| 7 | GPT-4o (2024-11-20) | 25.56 |
| 8 | DeepSeek V3 (0324) | 25.29 |
| 9 | Grok 4 | 24.58 |
| 10 | Qwen3 Coder | 23.93 |
| 11 | Gemini 2.5 Pro | 20.68 |
| 12 | Gemini 3 Pro | 16.91 |
Interactive version: theaggregate.ai/benchmark?slug=mcp-persona · How It Works · Data refreshed daily, snapshot 2026-09-29.