MCP-Persona - Content Management: 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 content-management tasks (Notion, Obsidian); 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 2029. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 22.57 |
| 2 | Gemini 2.5 Pro | 22.24 |
| 3 | O4 Mini | 21.22 |
| 4 | Claude Sonnet 4.5 | 19.76 |
| 5 | O3 | 14.55 |
| 6 | Claude Opus 4.1 | 13.56 |
| 7 | Qwen3 Coder | 13.18 |
| 8 | Qwen 3 235B A22B 2507 Instruct | 12.12 |
| 9 | Grok 4 | 11.82 |
| 10 | DeepSeek V3 (0324) | 11.48 |
| 11 | Gemini 3 Pro | 11.03 |
| 12 | GPT-4o (2024-11-20) | 7.58 |
Interactive version: theaggregate.ai/benchmark?slug=mcp-persona-content-management · How It Works · Data refreshed daily, snapshot 2026-09-29.