awesome-mcp-servers and awesome-mcp
These are ecosystem siblings—both are community-maintained registry aggregators that index and curate MCP server implementations, with TensorBlock's being more comprehensive and actively maintained while aimcp's serves as an alternative curation source that developers might consult for different selection criteria or community perspectives.
About awesome-mcp-servers
TensorBlock/awesome-mcp-servers
A comprehensive collection of Model Context Protocol (MCP) servers
Curates over 7,260 MCP servers across 33 categories—from AI integration and databases to browser automation and hardware—enabling developers to discover standardized tools for connecting Claude and other AI models to external systems. The collection uses a community-driven contribution model where servers are organized by use case and vetted for public accessibility, making it a discovery layer for the MCP ecosystem. Servers communicate via stdio transport and connect AI assistants to APIs, filesystems, cloud platforms, and developer tools through a universal protocol interface.
About awesome-mcp
aimcp/awesome-mcp
A collection about MCP
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work