MCP servers and skills: search, filter by where they run, and compare.
1–7 of 7 tools for “faiss-vector-database”
Clear allA Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while
PythonMIT★ 130No key
A semantic tool routing proxy for AI agents. Indexes all MCP tools with FAISS embeddings, surfaces only what's relevant. 97% context reduction.
PythonMIT★ 13No key
SkillMIT★ 1Few starsNo key
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic s
OfficialSkillApache-2.0★ 40k in collectionNo key
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecon
OfficialSkillMIT★ 1.3k in collectionNo key
Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks 'how do I migrate from Pinecone/Weaviate/Mi
OfficialSkillApache-2.0★ 256 in collectionNo key
Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.
PythonMIT★ 36No key
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