Mar 26 · 2 min read · The Qdrant MCP server takes a deliberately minimalist approach to AI-native vector search. Just 2 tools — store and find — but it's the only vector DB MCP server supporting all three transport protocols. At a glance: 1,300 GitHub stars, 242 forks, v0...
Join discussionMar 26 · 12 min read · Part of our Databases MCP category. At a glance: 59 GitHub stars, 21 forks, 106 commits, 7 contributors, v0.2.1 (Feb 5, 2026), last commit Mar 6, 3 open issues, 16 open PRs, ~3,115 npm downloads/week, PulseMCP 49K all-time visitors (#527 globally, ~3...
Join discussionMar 25 · 11 min read · Part of our Databases MCP category. At a glance: 222 GitHub stars, 64 forks, 35 commits, last commit Dec 24, 2025, v0.1.1.dev9 (PyPI), 12 tools, Python, Apache-2.0, ~6,934 PyPI downloads total, PulseMCP 40.4K all-time visitors. Milvus core: 43.4K sta...
Join discussionMar 25 · 3 min read · At a glance: Chroma's official MCP server — 515 stars, 13 tools, 4 deployment modes, collection forking, 6 embedding providers. The most comprehensive vector database MCP server available. Rating: 3.5/5. What It Does 13 tools across two categories: C...
Join discussionMar 7 · 7 min read · Most developers think building a chatbot with RAG means slapping a vector database onto a basic chatbot and calling it a day. I used to think the same thing. But after diving deep into RAG architectures this year, I've realized the real challenge isn...
Join discussionJul 17, 2025 · 4 min read · Have you ever watched a long YouTube video and wished you could just ask a question and get the answer from it? Or get a quick summary without watching it all? Well, that's exactly what we're building today — a YouTube AI Assistant that can: Underst...
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