local_faiss_mcp
pipStandardLocal FAISS MCP server provides vector storage and retrieval for AI agents. It exposes FAISS vector search functionality, allowing agents to perform semantic search over local vector embeddings. The server connects to local FAISS indexes and is designed for developers building retrieval-augmented generation (RAG) applications with Claude, Copilot, or other AI agents. It enables private, offline vector search capabilities.
1770Updated 3 months ago
Overview
Local FAISS MCP server provides vector storage and retrieval for AI agents. It exposes FAISS vector search functionality, allowing agents to perform semantic search over local vector embeddings. The server connects to local FAISS indexes and is designed for developers building retrieval-augmented generation (RAG) applications with Claude, Copilot, or other AI agents. It enables private, offline vector search capabilities.
Installation
1Install the package
pip
pip install local_faiss_mcp2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"nonatofabio-localfaissmcp-github": {
"command": "uvx",
"args": [
"pip install local_faiss_mcp"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from local_faiss_mcp?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in local_faiss_mcp?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in local_faiss_mcp"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in local_faiss_mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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