Databox MCP Server for Google ADKGive Google ADK instant access to 12 tools to Create Data Source, Create Dataset, Delete Dataset, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Databox as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Databox app connector for Google ADK is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="databox_agent",
instruction=(
"You help users interact with Databox "
"using 12 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Databox MCP Server
Connect your Databox account to any AI agent and take full control of your business intelligence and data ingestion workflows through natural conversation.
Google ADK natively supports Databox as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Dataset Orchestration — List and manage your database collections (tables) programmatically, including retrieving detailed schema metadata and primary key configurations
- High-Fidelity Ingestion — Programmatically push arrays of raw data records directly into Databox to coordinate real-time metric visualization and reporting
- Source Architecture — Access and manage your directory of data source integrations and connected accounts to maintain high-fidelity data feeds
- Usage Monitoring — Programmatically track your data storage statistics and API activity logs to coordinate your analytics budget and quotas
- Operational Visibility — Check authenticated user profiles and verify system connectivity directly through your agent for instant BI reporting
The Databox MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Databox tools available for Google ADK
When Google ADK connects to Databox through Vinkius, your AI agent gets direct access to every tool listed below — spanning kpi-tracking, data-visualization, real-time-dashboards, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new data source
Create a new dataset
Delete a dataset
Get authenticated user profile
Get details for a specific dataset
Get data storage stats
List all Databox accounts
List API activity logs
List data sources for an account
List metrics in a dataset
List all datasets
Ingest data into a dataset
Connect Databox to Google ADK via MCP
Follow these steps to wire Databox into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Databox MCP Server
Google ADK provides unique advantages when paired with Databox through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Databox
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Databox tools with BigQuery, Vertex AI, and Cloud Functions
Databox + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Databox MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Databox and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Databox tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Databox regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Databox
Example Prompts for Databox in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Databox immediately.
"List all datasets in my Databox account."
"Push record to 'ds_123': value 1500, date '2026-04-16'."
"Show my storage usage and API activity logs."
Troubleshooting Databox MCP Server with Google ADK
Common issues when connecting Databox to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDatabox + Google ADK FAQ
Common questions about integrating Databox MCP Server with Google ADK.