Local FAISS MCP Server
by nonatofabiocommunityv0.2.0-rc.3
26
11
This MCP server provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications, enabling efficient similarity search and document management.
From the registry: Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
Install & configure
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `local-faiss-mcp` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `local-faiss-mcp`
- args: []
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Tools (2)
ingest_document
Ingest a document into the vector store.
query_rag_store
Query the vector store for relevant document chunks.
Prerequisites
- • Python 3.10+
Packages
local-faiss-mcp
pypiv0.2.0-rc.3transport: stdio
Details
- Language
- Python
- License
- MIT
- Released
- Dec 7, 2025
- Last commit
- Mar 8, 2026
- Registry name
- io.github.nonatofabio/local-faiss-mcp
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