Can I search for files by their content, not just their name?

Yes! The `list_files` tool uses Google Drive's powerful search engine. You can use queries like 'fullText contains "marketing plan"' to find files based on the text inside them.

How do I share a file with someone using the AI agent?

Use the `create_permission` tool. You just need to provide the File ID, the person's email address, and the role you want to grant (e.g., 'reader', 'commenter', or 'writer').

Can I export a Google Sheet to a PDF through the chat?

Yes. The `export_file` tool allows you to specify a Google Doc/Sheet/Slide ID and a target MIME type like `application/pdf`. The agent will initiate the export for you.

Google Drive MCP Server for LlamaIndex 12 tools — connect in under 2 minutes

Name: Google Drive
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Google Drive as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Google Drive. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Google Drive?"
    )
    print(response)

asyncio.run(main())

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About Google Drive MCP Server

Connect your Google Drive to your AI agent and transform how you interact with your cloud storage. Use natural language to find documents, manage sharing permissions, organize folders, and audit your file history across your entire drive.

LlamaIndex agents combine Google Drive tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Deep Search — Find files instantly using natural language queries (e.g., 'Find all PDFs from last week')
File & Folder Management — Create, update, copy, and delete files or folders directly through the chat
Sharing & Permissions — Audit who has access to your sensitive documents and add or remove permissions securely
Content Conversion — Export Google Docs, Sheets, and Slides to formats like PDF or CSV with simple commands
Version Control — List file revisions to track changes and see the evolution of your documents over time

The Google Drive MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Google Drive to LlamaIndex via MCP

Follow these steps to integrate the Google Drive MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Google Drive

Why Use LlamaIndex with the Google Drive MCP Server

LlamaIndex provides unique advantages when paired with Google Drive through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Google Drive tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Google Drive tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Google Drive, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Google Drive tools were called, what data was returned, and how it influenced the final answer

Google Drive + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Google Drive MCP Server delivers measurable value.

Hybrid search: combine Google Drive real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Google Drive to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Google Drive for fresh data

Analytical workflows: chain Google Drive queries with LlamaIndex's data connectors to build multi-source analytical reports

Google Drive MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect Google Drive to LlamaIndex via MCP:

copy_file

Create a copy of a file

create_file

Create a new file (metadata only, or folder)

create_permission

Share a file with an email or group

delete_file

Move a file to trash

empty_trash

Permanently delete all files in the trash

export_file

Export a Google Doc/Sheet to a specific format (e.g. application/pdf)

get_drive_about

Get info about the user Drive (quota, usage)

get_file_metadata

Get detailed info for a specific file

list_files

List or search for files in Google Drive

list_permissions

Check who has access to a file

list_revisions

View file history/revisions

update_file

Update file metadata or content

Example Prompts for Google Drive in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Google Drive immediately.

"Find all spreadsheets I created in the last 30 days."

"Who has access to the file 'Confidential_Roadmap'?"

"Create a new folder named 'Project Apollo Assets'."

Troubleshooting Google Drive MCP Server with LlamaIndex

Common issues when connecting Google Drive to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Google Drive + LlamaIndex FAQ

Common questions about integrating Google Drive MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Google Drive tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.