](https://glama.ai/mcp/servers/lyonzin/knowledge-rag) 🐍 🏠 🍎 🪟 🐧 - Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query ex
Install
npx -y -y knowledge-ragclaude_desktop_config.json
{
"mcpServers": {
"lyonzin-knowledge-rag": {
"command": "npx",
"args": [
"-y",
"-y",
"knowledge-rag"
]
}
}
}Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.
What this does
lyonzin/knowledge-rag exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into search engines and knowledge bases without copy-pasting context every turn.
Common use cases
- •Search the open web, internal docs, or a vector store from inside a Claude session
- •Bring fresh information past Claude's training cutoff into context
- •Run multi-source research without copy-pasting URLs and snippets
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