Connectto Google Drive, Dropbox, Unified MCP MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Google Drive, Dropbox, Unified MCP for enhanced automation capabilities in Klavis AI.

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Google Drive

featured

Google Drive is a cloud storage service

Available Tools:

google_drive_search_documents
google_drive_search_and_retrieve_documents
google_drive_get_file_tree_structure

Dropbox

coming soon

Dropbox is a file hosting service that offers cloud storage and file synchronization

Unified MCP

featured

Klavis AI unified MCP server that provides access to multiple tools and capabilities through a single endpoint

Quick Setup Guide

Follow these steps to connect Google Gemini to these MCP servers

Create Your Account

Configure Connections

Add your desired MCP servers to Gemini and configure authentication settings.

Test & Deploy

Verify your connections work correctly and start using your enhanced AI capabilities.

Google Gemini + KlavisAI Integration Snippets

View Documentation

import os
from google import genai
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
client = genai.Client(api_key=os.getenv("GOOGLE_API_KEY"))

user_message = "Your query here"

google_drive_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GOOGLE_DRIVE,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

dropbox_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.DROPBOX,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

unified_mcp_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.UNIFIED_MCP,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

# Get tools from all MCP servers
google_drive_tools = klavis_client.mcp_server.list_tools(
    server_url=google_drive_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
dropbox_tools = klavis_client.mcp_server.list_tools(
    server_url=dropbox_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
unified_mcp_tools = klavis_client.mcp_server.list_tools(
    server_url=unified_mcp_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)

# Combine all tools
all_tools = []
all_tools.extend(google_drive_tools.tools)
all_tools.extend(dropbox_tools.tools)
all_tools.extend(unified_mcp_tools.tools)

response = client.models.generate_content(
    model="gemini-2.5-flash",
    contents=user_message,
    config=genai.types.GenerateContentConfig(
        tools=all_tools,
    ),
)

Frequently Asked Questions

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ConnectGeminito Google Drive, Dropbox, Unified MCP MCP Servers