# MCP-Persona：首个面向真实场景个性化工具的LLM智能体基准测试

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-06-01 08:00
- AIHOT 分数：68
- AIHOT 链接：https://aihot.virxact.com/items/cmpw9qhhb00z5slsnjo1qkcko
- 原文链接：https://arxiv.org/abs/2606.02470

## AI 摘要

MCP-Persona是首个专门评估LLM智能体在个性化MCP工具上表现的基准测试，涵盖Reddit、小红书、Lark和Slack等应用。在多个SOTA智能体上的实验表明，当前智能体在个性化工具使用方面仍面临重大挑战。该基准旨在弥合现有评估主要聚焦通用工具、忽视个人社交应用中工具与个人账户或本地数据库交互所带来的实际挑战这一空白。

## 正文

The Model Context Protocol (MCP) has emerged as a transformative standard for connecting large language models (LLMs) with external data sources and tools, and has been rapidly adopted across personal applications and development platforms. However, existing benchmarks predominantly focus on generic information-seeking tools and fail to capture the practical challenges posed by personal social applications, where tools interact with individual accounts or local databases. To bridge this critical gap, we introduce MCP-Persona, the first benchmark specifically designed for evaluating agent performance on real-world, personalized MCP tools. MCP-Persona encompasses a diverse set of widely-used applications, ranging from social media platforms like Reddit and Xiaohongshu (Rednote) to enterprise collaboration suites such as Lark (Feishu) and Slack. Our extensive experiments on various state-of-the-art (SOTA) agents demonstrate their significant struggles with personalized tool use, thereby highlighting the benchmark's crucial role in identifying and addressing these limitations. MCP-Persona is publicly available at https://github.com/wwh0411/MCP-Persona}{https://github.com/wwh0411/MCP-Persona.