How to Use the Aragón Open Data MCP in Google ADK

Q: Can I use Google ADK to merge Aragón Open Data with my Google Cloud databases?

Yes. Your agent can use getdataset to pull specific Aragon metadata and then use your custom GCP tools to write those records directly into BigQuery or Cloud SQL.

Q: Can I restrict my Google Cloud agent to only see specific Aragon metadata tools?

Yes, use the toolnames filter in your McpToolset setup. You can restrict the agent to only call listorganizations or getorganization while hiding raw query tools.

Bring Aragón public datasets directly into your Gemini Google ADK workflows using this zero-config MCP server.

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Connect Aragón Open Data MCP to Google ADK

Create your Vinkius account to connect Aragón Open Data 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.

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Setup Aragón Open Data with Google ADK

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Cross-reference Aragon datasets with BigQuery

The `list_datasets` tool lets your Gemini agent scan the active Aragon catalog and find relevant public tables. Your agent can then pull the latest updates using `newest_datasets` and run comparisons against your internal BigQuery enterprise warehouses using these MCP tools. Using the Google ADK, your agent can coordinate these steps natively. It can query public data, write the results to a Cloud Storage bucket, and update your BigQuery tables in a single automated run.

Feed massive Aragon public views to Gemini long-context

The `preview_data` tool extracts up to 1,000 rows of public data from Aragon's active views. Because Gemini models handle over a million tokens of context, your agent can ingest these entire datasets without choking or running out of memory. Your Google ADK setup manages this high-volume ingestion smoothly. The agent calls `show_columns` to understand the schema, pulls the raw rows, and runs complex reasoning across the entire dataset in one pass.

Query regional SPARQL ontologies via this MCP Server

The `query_sparql` tool executes semantic queries against Aragopedia and other public Spanish regional databases. Your agent can search structured RDF data and map connections between public entities using these tools. The Google ADK lets you filter which tools are exposed using the tool_names parameter. This means you can lock down your agent to only run SPARQL queries when accessing regional Aragon data.

Setup guide

Set up Aragón Open Data 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 Aragón Open Data 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="Aragón Open Data_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Aragón Open Data tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Aragón Open Data MCP in Google ADK

Install google-adk and define a new McpToolset pointing to the Vinkius HTTP endpoint. Pass this toolset into your LlmAgent configuration to let Gemini discover tools like list_groups.

Yes. Your agent can use get_dataset to pull specific Aragon metadata and then use your custom GCP tools to write those records directly into BigQuery or Cloud SQL.

Gemini's massive context window easily digests the 1,000-row limit returned by preview_data. The agent can analyze the entire table structure in a single prompt without needing complex chunking logic.

Yes, use the tool_names filter in your McpToolset setup. You can restrict the agent to only call list_organizations or get_organization while hiding raw query tools.

The Aragón Open Data MCP server only accesses public CKAN catalog records and open-source SPARQL endpoints. Vinkius runs this server inside zero-trust, ephemeral V8 isolates, ensuring your queries and data transfers remain isolated and private.

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