How to Use the Datos Abiertos Castilla-La Mancha MCP in Google ADK

Q: How do I configure Datos Abiertos Castilla-La Mancha with the Google ADK?

You initialize the McpToolset with your Vinkius HTTP endpoint URL and pass it to your agent's MCP server parameters. The Google ADK automatically discovers the tools and exposes them to your Gemini model. No manual function definition is required.

Q: Can my Google ADK agent query specific rows in Datos Abiertos Castilla-La Mancha?

Yes, the searchdatastore tool allows your agent to run filtered searches inside Castilla-La Mancha's tabular databases. It pulls back only the specific rows you need, avoiding giant file downloads. This keeps your long-context reasoning clean and fast.

Q: How do I limit which Datos Abiertos Castilla-La Mancha tools my Google ADK agent can access?

You can use the toolnames filter when setting up your McpToolset in Python. This restricts the agent to specific tools, like listdatasets or getresource, depending on your security requirements. It prevents the agent from calling tools it does not need.

Pull real-time Castilla-La Mancha public data directly into your Google ADK pipelines for immediate analysis.

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Connect Datos Abiertos Castilla-La Mancha MCP to Google ADK

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Setup Datos Abiertos Castilla-La Mancha with Google ADK

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Map the regional data catalog

The `list_datasets` tool gives your Gemini agent immediate visibility into Castilla-La Mancha's public data catalog. By invoking `list_tags`, the agent groups these datasets by regional sectors such as healthcare, finance, or environmental monitoring. Your agent uses this mapped index to decide which datasets are relevant to your current analytical tasks. This eliminates manual searching through Spanish government web portals.

Inspect data structures with this MCP Server

This MCP Server uses `get_dataset` to retrieve specific schema details and update schedules directly from the portal. Your Google ADK agent then runs `get_resource` to extract the download URLs and formats of individual files inside that dataset. Armed with this structure, your agent can plan its data ingestion pipelines. It avoids parsing errors by checking the file format before starting any processing steps.

Query regional databases directly

The `search_datastore` tool enables your agent to execute granular queries against Castilla-La Mancha's tabular databases. Your Google ADK agent filters the rows at the source, extracting only the records that fit your criteria. Feeding only the necessary rows into your Gemini model saves token costs and speeds up execution. You can easily pipe these precise query results directly into BigQuery for further enterprise analysis.

Setup guide

Set up Datos Abiertos Castilla-La Mancha 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 Datos Abiertos Castilla-La Mancha 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="Datos Abiertos Castilla-La Mancha_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Datos Abiertos Castilla-La Mancha tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Datos Abiertos Castilla-La Mancha MCP in Google ADK

You initialize the `McpToolset` with your Vinkius HTTP endpoint URL and pass it to your agent's MCP server parameters. The Google ADK automatically discovers the tools and exposes them to your Gemini model. No manual function definition is required.

Yes, the `search_datastore` tool allows your agent to run filtered searches inside Castilla-La Mancha's tabular databases. It pulls back only the specific rows you need, avoiding giant file downloads. This keeps your long-context reasoning clean and fast.

You can use the `tool_names` filter when setting up your `McpToolset` in Python. This restricts the agent to specific tools, like `list_datasets` or `get_resource`, depending on your security requirements. It prevents the agent from calling tools it does not need.

Yes, every tool call queries the live Castilla-La Mancha CKAN API in real time. Your agent always receives the most current datasets and resources published by the regional government. There is no cached or stale data in the middle.

This server only handles public dataset metadata and search parameters sent to the Castilla-La Mancha data portal. Your Google Cloud environment variables and BigQuery credentials remain completely isolated. The Vinkius MCP sandbox ensures no query data is stored permanently.

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