Collaborative RAG
Verified IntegrationClient Configuration
— Connect Collaborative RAG to Claude Desktop or Cursor in seconds{
"mcpServers": {
"collaborative-rag": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-collaborative-rag"
],
"env": {}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).System Overview
Provides a multi-tenant Retrieval-Augmented Generation (RAG) server for querying isolated document collections.
7/23/2026
Open Source
stdio / SSE RPC
Frequently Asked Questions
Architecture and operational details for Collaborative RAG
It utilizes OpenAI for generating document embeddings and FAISS for efficient in-memory vector similarity search. This ensures fast and accurate retrieval of relevant information from your documents.
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