一句话：发布 MCPCORPUS 数据集，含约 1.4 万 MCP 服务器与 300 客户端，支持 MCP 生态与安全分析。
模型上下文协议（MCP）正成为连接语言模型与外部工具、数据的标准接口，其生态快速扩张，但现有 MCP 制品缺乏结构化、全面的视图，给生态与安全研究带来困难。本文提出 MCPCORPUS，一个大规模可演化数据集，包含约 1.4 万个 MCP 服务器和 300 个 MCP 客户端。每个制品标注 20 多项规范化属性，涵盖身份、接口配置、GitHub 活动与元数据。数据集提供真实 MCP 生态的可复现快照，并附带自动同步、规范化与检查工具以及轻量网页搜索界面，以支持采用趋势、生态健康、实现多样性与安全分析等研究。
The Model Context Protocol (MCP) has recently emerged as a standardized interface for connecting language models with external tools and data. As the ecosystem rapidly expands, the lack of a structured, comprehensive view of existing MCP artifacts presents challenges for research. To bridge this gap, we introduce MCPCORPUS, a large-scale dataset containing around 14K MCP servers and 300 MCP clients. Each artifact is annotated with 20+ normalized attributes capturing its identity, interface configuration, GitHub activity, and metadata. MCPCORPUS provides a reproducible snapshot of the real-world MCP ecosystem, enabling studies of adoption trends, ecosystem health, and implementation diversity. To keep pace with the rapid evolution of the MCP ecosystem, we provide utility tools for automated data synchronization, normalization, and inspection. Furthermore, to support efficient exploration and exploitation, we release a lightweight web-based search interface. MCPCORPUS is publicly available at: https://github.com/Snakinya/MCPCorpus. The video is at https://youtu.be/2a9WrHMcfxU.
DOI 原文 ·
@inproceedings{paperbot9432,
title = {A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis},
author = {Zhiwei Lin and Bonan Ruan and Jiahao Liu and Weibo Zhao},
booktitle = {ASE},
year = {2025},
doi = {10.1109/ase63991.2025.00356}
}