rag-architect-mcp

kevin801221/rag-architect-mcp

★ 0 stars Python AI/LLM Updated today

"Give your AI Agents a brain to choose the right RAG. A stateful MCP server that interviews you to blueprint the perfect RAG pipeline." (中譯：讓你的 AI 代理人擁有選擇正確 RAG 的大腦。一個透過訪談為您規劃完美 RAG 管道的狀態化 MCP 伺服器。)

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "rag-architect-mcp": {
      "command": "uvx",
      "args": [
        "rag-architect-mcp"
      ]
    }
  }
}

Or install with pip: pip install rag-architect-mcp

README Excerpt

<p align="center"> <img src="assets/github_repo_banner.png" alt="RAG Architect banner" width="600" style="border-radius: 10px;"> </p> An MCP server that turns four facts about your corpus into a concrete RAG architecture: named components for every layer, the tradeoffs that choice commits you to, and the metrics that will tell you if it worked.

Tools (11)

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rag-architect-mcp

Quick Install

README Excerpt

Tools (11)

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