A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis

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Main Authors: Lin, Zhiwei, Ruan, Bonan, Liu, Jiahao, Zhao, Weibo
Format: Preprint
Published: 2025
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author Lin, Zhiwei
Ruan, Bonan
Liu, Jiahao
Zhao, Weibo
author_facet Lin, Zhiwei
Ruan, Bonan
Liu, Jiahao
Zhao, Weibo
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_23474
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis
Lin, Zhiwei
Ruan, Bonan
Liu, Jiahao
Zhao, Weibo
Cryptography and Security
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.
title A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis
topic Cryptography and Security
url https://arxiv.org/abs/2506.23474