MCP-Persona - Social Media: 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 social-media tasks (Rednote, Reddit, Instagram); 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 social-media tasks (Rednote, Reddit, Instagram); 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: Not forecast. 13 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.547.04#250
2Claude Opus 4.144.79#272
3GPT-542.64#167
4Qwen 3 235B A22B 2507 Instruct40.05#619
5Grok 439.43#307
6DeepSeek V3 (0324)38.35#709
7GPT-4o (2024-11-20)36.98#866
8O4 Mini35.61#353
9O332.78#228
10Qwen3 Coder31.34#586
11Gemini 2.5 Pro26.22#266
12Gemini 3 Pro23.38#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-social-media · How It Works · Data refreshed daily, snapshot 2026-11-13.