This project builds a standalone RAG service, transforming the static `gemini-cli` documentation into a dynamic and queryable tool. This tool exposes
Gemini Cli Rag MCP lets Claude, Cursor and other MCP clients work with Gemini Cli Rag MCP directly. This project builds a standalone RAG service, transforming the static gemini-cli documentation into a dynamic and queryable tool. This tool exposes knowledge via a protocol (like MCP), making it accessible to any integrated client. Therefore, environments like gemini-cli, VS Code, or Cursor can.
This project builds a standalone RAG service, transforming the static gemini-cli documentation into a dynamic and queryable tool. This tool exposes knowledge via a protocol (like MCP), making it accessible to any integrated client. Therefore, environments like gemini-cli, VS Code, or Cursor can provide developers with instant, accurate answers in natural language, directly within their workflow. Accelerating learning and letting you intuitively leverage the tool's full potential.
gemini-cli installation. If you don't have it, you can clone the official repository:Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"gemini_docs": {
"command": "/absolute/path/to/python-environment/bin/python",
"args": [
"/absolute/path/to/gemini-cli-rag-mcp/gemini_cli_mcp.py"
],
"env": {
"RAG_MODEL": "e5-small",
"RAG_INDEX_DIR": "/absolute/path/to/gemini-cli-rag-mcp/indexes/e5-small-v0.60.0"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
gemini-cli installation. If you don't have it, you can clone the official repository:| Variable | Description | Required |
|---|---|---|
| RAG_MODEL | Declared in the maintainer’s client configuration. | Check documentation |
| RAG_INDEX_DIR | Declared in the maintainer’s client configuration. | Check documentation |
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