Awesome-MCP and awesome-mcp
These are ecosystem siblings—both are independently maintained curated registries that serve the same aggregation function for the MCP ecosystem, with the first being more established (136 vs 10 stars) but overlapping in scope and purpose.
About Awesome-MCP
AlexMili/Awesome-MCP
Awesome ModelContextProtocol resources - A curated list of MCP resources
This is a curated collection of resources for the Model Context Protocol (MCP), a new standard that allows large language model (LLM) applications to connect with various external data sources and tools. It provides links to different server implementations, clients, SDKs, and other tools that integrate with services like GitHub, Google Drive, PostgreSQL, Slack, and even specialized platforms like ZenML or Coupang. This resource is for developers, MLOps engineers, or anyone building or extending LLM applications to interact with real-world systems and data.
About awesome-mcp
gauravfs-14/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.
This is a curated collection of resources focused on the Model Context Protocol (MCP), a new method for making large language models (LLMs) work better with external tools and data. It helps AI researchers and developers design intelligent systems that can adapt, reason, and use multiple tools to complete complex tasks. You'll find research papers, practical tools, and tutorials to build more interactive and context-aware AI.
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