MCP-Persona - Email: leaderboard
Metric: Checkpoint accuracy (%): mean LLM-judged score (0, 0.5 or 1) of the sub-task checkpoints in a task, averaged over tasks, single-server email 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 December 2026. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O4 Mini | 53.83 |
| 2 | GPT-5 | 47.17 |
| 3 | Claude Sonnet 4.5 | 43.63 |
| 4 | O3 | 41.08 |
| 5 | Gemini 3 Pro | 36.92 |
| 6 | DeepSeek V3 (0324) | 30.79 |
| 7 | Gemini 2.5 Pro | 20.92 |
| 8 | Qwen 3 235B A22B 2507 Instruct | 13.71 |
| 9 | GPT-4o (2024-11-20) | 12.57 |
| 10 | Claude Opus 4.1 | 9.71 |
| 11 | Qwen3 Coder | 8.29 |
| 12 | Grok 4 | 5.71 |
Interactive version: theaggregate.ai/benchmark?slug=mcp-persona-email · How It Works · Data refreshed daily, snapshot 2026-09-29.