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Comunidad de Madrid (Portal Regional) MCP Server for Google ADKGive Google ADK instant access to 5 tools to Get Dataset, Get Resource, List Datasets, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Comunidad de Madrid (Portal Regional) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Comunidad de Madrid (Portal Regional) MCP Server for Google ADK is a standout in the Knowledge Management category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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="comunidad_de_madrid_portal_regional_agent",
    instruction=(
        "You help users interact with Comunidad de Madrid (Portal Regional) "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)
Comunidad de Madrid (Portal Regional)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Comunidad de Madrid (Portal Regional) MCP Server

Connect your AI agent to the Comunidad de Madrid Open Data Portal to access a wealth of public information directly through natural language. This MCP server provides a bridge to the regional CKAN-based repository, covering everything from transport and health to environment and economy.

Google ADK natively supports Comunidad de Madrid (Portal Regional) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 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 Discovery — Search for specific datasets using keywords like 'transporte', 'salud', or 'medio ambiente' to find relevant public records.
  • Metadata Inspection — Retrieve full metadata for datasets, including tags, organizations, and update frequencies.
  • Resource Management — List and inspect individual files (resources) within a dataset, such as CSVs, JSONs, or PDFs.
  • Direct Data Querying — Use the DataStore integration to query the actual content of datasets directly, allowing for data analysis without manual downloads.
  • Portal Exploration — List all available dataset identifiers to understand the scope of available regional data.

The Comunidad de Madrid (Portal Regional) MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 Comunidad de Madrid (Portal Regional) tools available for Google ADK

When Google ADK connects to Comunidad de Madrid (Portal Regional) through Vinkius, your AI agent gets direct access to every tool listed below — spanning madrid, open-data, ckan, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get dataset on Comunidad de Madrid (Portal Regional)

Get full metadata for a specific dataset

get

Get resource on Comunidad de Madrid (Portal Regional)

Get metadata for a specific resource

list

List datasets on Comunidad de Madrid (Portal Regional)

List all dataset identifiers in the portal

search

Search datasets on Comunidad de Madrid (Portal Regional)

g., transporte, salud). Search for datasets matching specific criteria

search

Search datastore on Comunidad de Madrid (Portal Regional)

Query data directly from a resource in the DataStore

Connect Comunidad de Madrid (Portal Regional) to Google ADK via MCP

Follow these steps to wire Comunidad de Madrid (Portal Regional) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 5 tools from Comunidad de Madrid (Portal Regional) via MCP

Why Use Google ADK with the Comunidad de Madrid (Portal Regional) MCP Server

Google ADK provides unique advantages when paired with Comunidad de Madrid (Portal Regional) through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Comunidad de Madrid (Portal Regional)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Comunidad de Madrid (Portal Regional) tools with BigQuery, Vertex AI, and Cloud Functions

Comunidad de Madrid (Portal Regional) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Comunidad de Madrid (Portal Regional) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Comunidad de Madrid (Portal Regional) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Comunidad de Madrid (Portal Regional) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Comunidad de Madrid (Portal Regional) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Comunidad de Madrid (Portal Regional)

Example Prompts for Comunidad de Madrid (Portal Regional) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Comunidad de Madrid (Portal Regional) immediately.

01

"Search for datasets related to air quality in Madrid."

02

"List all dataset identifiers available in the portal."

03

"Get the metadata for the dataset 'calidad_aire_datos_dia'."

Troubleshooting Comunidad de Madrid (Portal Regional) MCP Server with Google ADK

Common issues when connecting Comunidad de Madrid (Portal Regional) to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Comunidad de Madrid (Portal Regional) + Google ADK FAQ

Common questions about integrating Comunidad de Madrid (Portal Regional) MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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