awesome-mcp and awesome-mcp-servers
These two projects are ecosystem siblings, both serving as curated lists of resources related to the Model Context Protocol (MCP), but with the first being a list specifically of MCP servers while the second is a broader collection of tools, libraries, research papers, projects, and tutorials.
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.
About awesome-mcp-servers
appcypher/awesome-mcp-servers
Awesome MCP Servers - A curated list of Model Context Protocol servers
This is a curated list of Model Context Protocol (MCP) servers that allow your AI models (like Claude Desktop or Sourcegraph Cody) to securely access and interact with external systems. It helps AI models read and write files, connect to databases, and integrate with various APIs. This resource is for developers, AI engineers, or IT professionals who are building or deploying AI applications and need to extend their AI's capabilities beyond its core model.
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