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New dataset tracks 2,297 GitHub projects implementing Model Context Protocol

By PulseAugur Editorial · [1 sources] ·

Researchers have compiled the first large-scale dataset of Model Context Protocol (MCP) implementations found on GitHub. This dataset, comprising 2,297 validated projects, was created using a hybrid pipeline that combined GitHub APIs with Python scripts to identify and verify MCP usage. The analysis indicates that Python and TypeScript are the most common languages for MCP development, with hybrid architectures being a prevalent design pattern. This work aims to provide a foundational benchmark for studying MCP ecosystems and supporting future research on model integration and compatibility. AI

IMPACT Provides a foundational benchmark for studying MCP ecosystems and supporting future research on model integration and compatibility.

RANK_REASON The cluster is based on an academic paper detailing a new dataset. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset tracks 2,297 GitHub projects implementing Model Context Protocol

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The cluster is based on an academic paper detailing a new dataset. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Benny Toeppe, Amine Barrak, Emna Ksontini ·

    A Large-Scale Dataset of MCP Implementations on GitHub

    arXiv:2607.10123v1 Announce Type: cross Abstract: The rapid emergence of the Model Context Protocol (MCP) has introduced a new standard for connecting large language models to external tools and services. Despite its rapid adoption in open-source development, systematic understan…

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