patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
AlexMili/Awesome-MCP
Awesome MCP is a curated list of Model Context Protocol servers, clients, SDKs and tools, following the awesome-list convention and carrying the awesome.re badge. Its organising principle is use case rather than technology: servers are grouped by what they do, in sections for development, code and Git; databases and data; cloud, DevOps and monitoring; web, search and browser; productivity, docs and knowledge; communication and social; commerce, advertising and business; artificial intelligence, agents and memory; media and 3D; finance and crypto; and a catch-all other section. Separate sections cover clients, SDKs and tools. Each section is a table rather than a bullet list, and every row carries several signals beyond the name and description: the implementation language shown as an icon, a repository activity marker, and the star count. The activity marker is a traffic light where green means the last push was within three months, yellow within a year and red longer than a year, with additional states for archived and unknown repositories. A tick marks entries that are official or first-party, separating vendor-maintained servers from community ports. These signals are refreshed automatically and the list records the date of the last update in its header, which addresses the usual problem of curated lists accumulating abandoned projects. A featured section at the top highlights standout community servers by traction and activity, and the list notes that the canonical reference servers live in the modelcontextprotocol/servers repository, with individual entries from it linked into the relevant categories below. Section headings show entry counts so the size of each area is visible at a glance. The list opens with a short explanation of what the protocol is and when Anthropic published it. It serves developers looking for an existing MCP integration before writing their own, and maintainers tracking what the ecosystem already covers.
https://github.com/AlexMili/Awesome-MCP
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