How do I install gemini-cli-rag-mcp?

Its README did not state an install command plainly enough for us to quote one, so we do not guess. The repository has the instructions: https://github.com/pedarias/gemini-cli-rag-mcp

Which AI clients can use gemini-cli-rag-mcp?

Its own description mentions Cursor and VS Code. That is a mention in its description, not a test we ran.

Is gemini-cli-rag-mcp official and is it maintained?

We found nothing naming it as a vendor’s official server. Its repository has 9 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-09-24.

What licence does gemini-cli-rag-mcp use?

The repository declares the MIT licence.

InfratoApp / Resources / MCP servers / gemini-cli-rag-mcp

gemini-cli-rag-mcp

gemini-cli-rag-mcp is an MCP server, listed under model apis. Its repository has 9 GitHub stars and is licensed under MIT; we last read it on 2026-10-22.

Instantly queries gemini-cli documentation in natural language from within the editor (VS Code/Cursor/etc.) or terminal (gemini-cli).

Install

MCP servers are packaged differently from each other -- some run via npx, some as a Docker image, some as a plain script you clone and run. gemini-cli-rag-mcp’s own README did not state one plainly enough for this page to quote it rather than guess, so it will not guess. The repository below states it.

Read gemini-cli-rag-mcp’s own install instructions ↗

What it reaches, and what it needs

Reaches

○ not recognised

Credential

○ none found

What it connects to

Supported in

Cursor, VS Code

Unverified means a mention in the server’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.

Maintenance

Stars

State

listed

Licence

MIT

From the repository

A RAG project to instantly query gemini-cli documentation in natural language, right from the editor (VS Code/Cursor/etc.) or terminal (gemini-cli).

View on GitHub ↗2026-10-22