MCP-Persona - Content Management: 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 checkpoint accuracy in percent on single-server note and document tasks (Notion, Obsidian); higher is better.

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 July 2028. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-522.57#167
2Gemini 2.5 Pro22.24#266
3O4 Mini21.22#353
4Claude Sonnet 4.519.76#250
5O314.55#228
6Claude Opus 4.113.56#272
7Qwen3 Coder13.18#586
8Qwen 3 235B A22B 2507 Instruct12.12#619
9Grok 411.82#307
10DeepSeek V3 (0324)11.48#709
11Gemini 3 Pro11.03#137
12GPT-4o (2024-11-20)7.58#866

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-content-management · How It Works · Data refreshed daily, snapshot 2026-11-13.