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.
# Technical Summary Organizes 74+ peer-reviewed papers and implementations spanning MCP security frameworks, tool-orchestration architectures, and domain-specific applications (healthcare, IoT, wireless networks). Highlights emerging patterns in multi-agent LLM systems using structured tool routing, telemetry integration, and adaptive reasoning loops—from LangGraph-based designs to vision system extensions and distributed intelligence protocols. Covers critical concerns including OAuth-enhanced tool definitions, zero-trust registry approaches, and vulnerability audits for production MCP deployments across enterprise and autonomous systems.
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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