Model Context Protocol (MCP) enables agents to interact with external tools, yet empirical research on MCP is hindered by the lack of large-scale, accessible datasets. We present MCPZoo, the largest and most comprehensive dataset of MCP servers collected from multiple public sources, comprising 95,142 servers. MCPZoo includes over ten thousand server instances that have been deployed and verified as runnable and interactable, supporting realistic experimentation beyond static analysis. The dataset provides unified metadata and access interfaces, enabling systematic exploration and interaction without manual deployment effort. MCPZoo is released as an open and accessible resource to support research on MCP-based security analysis.

翻译：模型上下文协议（MCP）使智能体能够与外部工具交互，然而针对MCP的实证研究因缺乏大规模、可访问的数据集而受到阻碍。本文提出MCPZoo，这是从多个公共来源收集的最大且最全面的MCP服务器数据集，包含95,142个服务器。MCPZoo涵盖超过一万个已部署并验证为可运行、可交互的服务器实例，支持超越静态分析的真实场景实验。该数据集提供统一的元数据与访问接口，无需人工部署即可实现系统化探索与交互。MCPZoo作为开放可访问的资源发布，旨在支持基于MCP的安全分析研究。