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Gemini Cli Rag

πŸ”΄Dangerous
AI & Machine Learning

A RAG-based Q&A server using a vector store built from Gemini CLI documentation.

STEP 1

Understand what it does

Tell your agent things like:

β†’β€œuse gemini cli rag”
β†’β€œgenerate text”
β†’β€œanalyze with AI”
β†’β€œuse machine learning”
PERMISSIONS

What this capability can access

This capability requires the following permissions:

This capability has elevated permissions including System Administration. Review the permissions below carefully before granting access to your agent.

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Read Files
Reads local files and directories
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System Administration
Modifies system configuration or infrastructure
STEP 2

Set it up

Available on 1 platform. Pick yours:

MCP (Model Context Protocol)Docs

Add to your MCP client configuration:

{
  "mcpServers": {
    "gemini-cli-rag": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-gemini-cli-rag"]
    }
  }
}
STEP 3

Go deeper

Full documentation and source code

Add to your README

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