Gemini File Search

Name: Gemini File Search
Author: node2flow

MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation).

CommunityOnlineAPI key requiredGlobalFreeCan modify data

What it can do

Gemini Create Store: Create a new Gemini File Search store for RAG documents. Returns the created store resource. Use this to create a knowledge base before uploading documents.
Gemini List Stores: List all Gemini File Search stores. Returns store names, display names, and timestamps. Use to see available knowledge bases.
Gemini Get Store: Get details of a specific Gemini File Search store by its resource name.

What data it sees

Do you need an account

An API key from the service settings is required

MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation).

Features

Create and manage File Search stores
Upload documents (text, PDF, base64) with custom metadata and chunking config
Import existing Gemini files into stores
Track upload/operation status
Query documents using RAG with model selection and metadata filtering

12 Tools

Store Management: create, list, get, delete stores Upload & Import: upload content directly or import existing files Operations: check status of store/upload operations Documents: list, get, delete documents in stores RAG Query: query documents with Gemini models (supports metadata filters)

Configuration

GEMINI_API_KEY — Get one at https://aistudio.google.com/apikey

How to connect

How to connect Gemini File Search to Claude

The server address to paste into Claude settings:

https://gemini-file-search-rag--node2flow.run.tools

Open Claude (claude.ai or the desktop app).
Go to Settings → Connectors.
Click Add custom connector.
Paste the server address copied below into Remote MCP server URL and click Add.
In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Gemini File Search to ChatGPT

The server address to paste into ChatGPT settings:

https://gemini-file-search-rag--node2flow.run.tools

Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
Open Settings → Connectors and click Create.
Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Gemini File Search to Cursor

The server address to paste into Cursor settings:

https://gemini-file-search-rag--node2flow.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (12)

Raw names from tools/list. Only developers need these.

gemini_create_store	Create a new Gemini File Search store for RAG documents. Returns the created store resource. Use this to create a knowledge base before uploading documents.
gemini_list_stores	List all Gemini File Search stores. Returns store names, display names, and timestamps. Use to see available knowledge bases.
gemini_get_store	Get details of a specific Gemini File Search store by its resource name.
gemini_delete_store	Delete a Gemini File Search store. Use force=true to also delete all documents inside it.
gemini_upload_to_store	Upload content directly to a Gemini File Search store. Accepts text content or base64-encoded binary. For large files, use gemini_import_file_to_store instead. Returns an operation to track upload progress.
gemini_import_file_to_store	Import a file from the Gemini Files API into a File Search store. Use this for large files that were uploaded separately via the Files API. Returns an operation to track import progress.
gemini_get_operation	Check the status of a store operation (create, delete, import). Returns whether the operation is done and any error details.
gemini_get_upload_operation	Check the status of a file upload operation. Returns whether the upload is done and any error details.
gemini_list_documents	List documents in a Gemini File Search store. Returns document names, display names, state, size, and MIME types.
gemini_get_document	Get details of a specific document in a File Search store, including state, size, and metadata.
gemini_delete_document	Delete a document from a File Search store. Use force=true to also delete associated chunks.
gemini_rag_query	Query your documents using Gemini RAG. Sends a natural language query grounded in your File Search stores. Returns AI-generated answer with source citations from your documents.