Keyword RAG
Verified IntegrationClient Configuration
— Connect Keyword RAG to Claude Desktop or Cursor in seconds{
"mcpServers": {
"keyword-rag": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-keyword-rag"
],
"env": {}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).System Overview
Enables efficient knowledge retrieval from markdown documents using a BM25 algorithm.
7/23/2026
Open Source
stdio / SSE RPC
Frequently Asked Questions
Architecture and operational details for Keyword RAG
Yes, Keyword RAG provides configurable parameters for the BM25 algorithm (k1, b) and document chunking (minWords, contextWindowSize). This allows you to fine-tune search relevance and performance based on your specific document characteristics and needs.
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