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awesome-mcp
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awesome-mcp

Active·★ 11·NOASSERTION·Updated 2026-10-22

awesome-mcp is a curated repository of resources centered on the Model Context Protocol (MCP) — tools, libraries, research papers, open-source projects, and tutorials. Maintained by the AI-in-Transportation Lab with an associated arXiv survey paper, it collects over 100 MCP-related papers and implementations covering LangGraph architectures, custom tool routers, model-control interfaces, and retrieval-augmented generation pipelines. Primarily a research and discovery resource rather than an installable tool.

#mcp#mcp-servers#model-context-protocol
$ Install
$ git clone https://github.com/AI-in-Transportation-Lab/awesome-mcp.git
↗ Visit site★ GitHub
01

Features

01Curated list of 100+ MCP-related research papers with citations
02Coverage of tools, libraries, and open-source MCP implementations
03Associated arXiv survey: "Model Context Protocols in Adaptive Transport Systems"
04Regularly updated with new papers and implementations
05Organized for researchers exploring context-aware AI systems
02

Compatibility

MCP
Reference List
Verified via docs
03

Quick start

1
$ git clone https://github.com/AI-in-Transportation-Lab/awesome-mcp.git
04

Use cases

↳Discovering cutting-edge MCP research papers and implementations
↳Finding reference architectures for LangGraph, RAG, and agent tool routing
↳Getting an overview of the MCP ecosystem for a research or evaluation project
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
AI-in-Transportation-Lab /
awesome-mcp
↗

A carefully curated collection of high-quality tools, libraries, research papers, projects, and tutorials centered around Model Context Protocol (MCP) — a novel paradigm designed to enable modular, adaptive coordination between large language models (LLMs) and external tools or data contexts.

11
Last commit1d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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