How to Use the IBESTAT (Estadística Illes Balears) MCP in Google ADK

Q: How does Google ADK connect to the IBESTAT (Estadística Illes Balears) registry?

You define an McpToolset pointing to the Vinkius HTTP endpoint. Pass this toolset to your LlmAgent to let Gemini call tools like getdata natively.

Q: Can I limit which IBESTAT (Estadística Illes Balears) tools are exposed to my Google ADK agent?

Yes, use the toolnames filter in the ADK toolset config. You can restrict the agent to just listresources and getdata if you want to block metadata queries.

Feed official Balearic Islands data to your Google ADK pipelines for long-context Gemini analytics.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect IBESTAT (Estadística Illes Balears) MCP to Google ADK

Create your Vinkius account to connect IBESTAT (Estadística Illes Balears) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup IBESTAT (Estadística Illes Balears) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Fuel Gemini long-context runs with Balearic datasets

Gemini models thrive on massive context windows, but they need clean data. By using `get_data`, your Google ADK agent pulls massive statistical tables from the Balearic registry directly into its active memory. This lets you analyze decades of tourism or employment trends in a single turn. No more copy-pasting CSVs into your prompt window.

Map statistical operations using Google ADK MCP Server tools

Your enterprise agents can navigate the entire Balearic database using `list_operations` and `list_resources`. This allows the agent to discover new economic tables on the fly. The ADK framework translates these tool schemas into native Google Cloud functions. Your agent calls them without custom wrapper code.

Verify statistical metadata before running BigQuery exports

Before writing data to BigQuery, your agent can call `get_metadata` to verify the structure and units of the target table. This keeps your data warehouse clean and prevents schema drift. The ADK manages the transport layer, letting you pipe clean JSON payloads straight from the Balearic API into your Google Cloud storage buckets via our MCP Server.

Setup guide

Set up IBESTAT (Estadística Illes Balears) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with IBESTAT (Estadística Illes Balears) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="IBESTAT (Estadística Illes Balears)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to IBESTAT (Estadística Illes Balears) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBESTAT. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect IBESTAT (Estadística Illes Balears) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about IBESTAT (Estadística Illes Balears) MCP in Google ADK

You define an `McpToolset` pointing to the Vinkius HTTP endpoint. Pass this toolset to your `LlmAgent` to let Gemini call tools like `get_data` natively.

Yes, use the `tool_names` filter in the ADK toolset config. You can restrict the agent to just `list_resources` and `get_data` if you want to block metadata queries.

Gemini's million-token window easily digests the raw JSON outputs from `get_data`. The model can cross-reference multiple tables without running out of memory.

Yes, the server supports both Stdio and Streamable HTTP transports. For cloud deployments, configure the ADK with the HTTP endpoint provided by Vinkius.

This MCP Server runs all requests for Balearic regional statistical data through a zero-trust, ephemeral V8 sandbox. Your queries are never stored on disk, keeping your analytical pipeline compliant.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript