MCP-Persona - Task Success: leaderboard
MCP-Persona (ICML 2026) gives tool-calling agents personalized tasks, such as messaging a colleague found through a shared group, on 12 MCP servers simulated from real tool traces, with up to 20 rounds per task. The board is the percentage of tasks whose checkpoint accuracy exceeds 0.8, a near end-to-end success rate; higher is better.
Metric: SR-0.8 (%): share of tasks whose checkpoint accuracy exceeds 0.8; 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 2030. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 4.5 | 10.4 | #250 |
| 2 | Claude Opus 4.1 | 7.05 | #272 |
| 3 | GPT-5 | 6.94 | #167 |
| 4 | Grok 4 | 6.68 | #307 |
| 5 | O4 Mini | 5.78 | #353 |
| 6 | O3 | 5.2 | #228 |
| 7 | GPT-4o (2024-11-20) | 4.35 | #866 |
| 8 | Qwen 3 235B A22B 2507 Instruct | 4.07 | #619 |
| 9 | Qwen3 Coder | 3.65 | #586 |
| 10 | DeepSeek V3 (0324) | 3.47 | #709 |
| 11 | Gemini 3 Pro | 1.79 | #137 |
| 12 | Gemini 2.5 Pro | 0.66 | #266 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=mcp-persona-task-success · How It Works · Data refreshed daily, snapshot 2026-11-13.