MCP-Persona - Collaboration Platforms: 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 tasks for collaboration platforms (Lark, Slack, WeCom); 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 collaboration-platform tasks (Lark, Slack, WeCom); 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 April 2028. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-543.5#167
2Claude Sonnet 4.539.94#250
3Claude Opus 4.138.79#272
4O4 Mini34.38#353
5O326.41#228
6GPT-4o (2024-11-20)24.5#866
7Qwen 3 235B A22B 2507 Instruct23.55#619
8Qwen3 Coder23.5#586
9Gemini 2.5 Pro22.58#266
10DeepSeek V3 (0324)19.22#709
11Grok 417.8#307
12Gemini 3 Pro14.01#137

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-collaboration-platforms · How It Works · Data refreshed daily, snapshot 2026-11-13.