Awesome-MCP and Awesome-MCP-Servers
The two tools are complements because Awesome-MCP is a general curated list of resources for ModelContextProtocol, while Awesome-MCP-Servers is a specialized curated list specifically for servers within that same protocol, making the latter a useful sub-resource within the broader context of the former.
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-Servers
YuzeHao2023/Awesome-MCP-Servers
A curated list of Model Context Protocol (MCP) servers
This is a curated list of Model Context Protocol (MCP) servers, tools, and clients. It helps AI models securely interact with local and remote resources like databases, file systems, and various cloud services. AI developers and system integrators can use this list to discover and implement MCP servers for their AI applications.
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