mlsanityData to 13 Oct 2026

A Two-Dimensional Study of the Model Context Protocol: Publication and Adoption

arXiv 2609.14721 ↗First posted 13 Sep 2026cs.SEcited by 0

On the map: LLM agents and tool use → Agent threats, guardrails and governance

Abstract (arXiv)

The Model Context Protocol (MCP), released by Anthropic in November 2024, standardizes how large language model applications connect to external tools and data sources. Despite MCP's rapid growth, no study has jointly characterized its emergence in the research literature, its adoption on GitHub and the relationship between them. We address this gap with a longitudinal, two-dimensional study of 802 MCP-related publications and 33,319 GitHub repositories. We characterize their growth and identify their application domains via BERTopic and usage contexts via a human-validated GPT-5.6-Luna classifier. We find that publications and repositories began rapid growth within a month of each other in 2025, and peaked together in March 2026. Notably, a second growth wave alone accounts for 49.5% of the GitHub repositories. Most publications (57.8%) and nearly all repositories (93.7%) use MCP as an enabling technology rather than for analyzing, evaluating, extending, or securing it directly. Among repositories, the latter category concentrates almost entirely in one general-purpose topic, while applied usage spreads into product-specific niches. Finally, we provide an overview of the MCP landscape and recommendations to researchers and practitioners in this field.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 21 of its 42 references that are in the map. First posted on arXiv 13 Sep 2026.

Builds on

21 of 42 references.

Closest ancestors · 3

Same direction, newest first

  1. 2026Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy5 Mar
  2. 2025From REST to MCP: An Empirical Study of API Wrapping and Automated Server Generation for LLM Agents21 Jul
  3. 2025A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis30 Jun

Other references · 18

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,107
  2. 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 976
  3. 2023ChatGPT Outperforms Crowd-Workers for Text-Annotation Taskscited by 857
  4. 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 792
  5. 2025Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Serverscited by 65
  6. 2018What's in a GitHub Star? Understanding Repository Starring Practices in a Social Coding Platformcited by 25
  7. 2020Topic Recommendation for Software Repositories using Multi-label Classification Algorithmscited by 20
  8. 2018Categorizing the Content of GitHub README Filescited by 18
  9. 2026How are AI agents used? Evidence from 177,000 MCP toolscited by 7
  10. 2020What Makes a Popular Academic AI Repository?cited by 6
  11. 2022The Rise of GitHub in Scholarly Publicationscited by 4
  12. 2024An Empirical Study of Challenges in Machine Learning Asset Managementcited by 4
6 more
  1. 2020GitHub Repositories with Links to Academic Papers: Public Access, Traceability, and Evolutioncited by 3
  2. 2023How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts & Impactcited by 3
  3. 2026A Large-Scale Dataset of MCP Implementations on GitHubcited by 3
  4. 2024GitHub Marketplace for Automation and Innovation in Software Productioncited by 2
  5. 2026Analyzing GitHub Issues and Pull Requests in nf-core Pipelines: Insights into nf-core Pipeline Repositoriescited by 2
  6. 2024A Metascience Study of the Low-Code Scientific Fieldcited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025A Measurement Study of Model Context Protocol Ecosystem
  2. 2026An Empirical Study of Model Context Protocol Applications
  3. 2025Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models
  4. 2026MCP Server Architecture Patterns for LLM-Integrated Applications
  5. 2025Code2MCP: Transforming Code Repositories into MCP Services
  6. 2026Same Name, Different Server: A Security Census of Silent Drift in the Model Context Protocol Ecosystem
  7. 2026Sovereign Context Protocol: An Open Attribution Layer for Human-Generated Content in the Age of Large Language Models
  8. 2025MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models