Bring Open Data
to Google ADK
Learn how to connect Dades Obertes Catalunya to Google ADK and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Dades Obertes Catalunya MCP Server?
Unlock the power of Dades Obertes Catalunya, the official open data platform of the Government of Catalonia. This MCP server allows your AI agent to browse thousands of public datasets and perform complex queries through natural conversation.
What you can do
- Catalog Discovery — Search for datasets by keywords, categories, or tags to find relevant public information using the
search_catalogtool. - Advanced Querying — Use SoQL (Socrata Query Language) via
query_datasetto filter, select specific columns, and sort data from any dataset using its 4x4 identifier. - Data Analysis — Group results and perform full-text searches across entire datasets to extract insights on health, transport, economy, and more.
- Pagination & Limits — Efficiently handle large datasets with built-in support for limits and offsets to browse records systematically.
How it works
- Subscribe to this server
- (Optional) Enter your Socrata App Token for higher rate limits
- Start querying Catalan public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly pull public statistics into your workflow without manual CSV downloads
- Researchers — find and cross-reference government data on demographics, environment, or urban planning
- Developers — test data queries and explore API structures directly through natural language
Built-in capabilities (2)
g., abcd-1234). Supports SoQL parameters like $select, $where, $limit. Query a specific dataset using SoQL parameters
Returns dataset identifiers needed for the query_dataset tool. Search the Dades Obertes Catalunya catalog for datasets
Why Google ADK?
Google ADK natively supports Dades Obertes Catalunya as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 2 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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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 Dades Obertes Catalunya
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Dades Obertes Catalunya tools with BigQuery, Vertex AI, and Cloud Functions
Dades Obertes Catalunya in Google ADK
Dades Obertes Catalunya and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dades Obertes Catalunya to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Dades Obertes Catalunya in Google ADK
The Dades Obertes Catalunya 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. All 2 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Dades Obertes Catalunya for Google ADK
Every tool call from Google ADK to the Dades Obertes Catalunya MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find the unique identifier for a specific dataset?
Use the search_catalog tool with a descriptive query. The response will include the 4x4 alphanumeric ID (e.g., 'abcd-1234') which you can then use with the query_dataset tool.
Can I filter data by specific values like a city or a date range?
Yes! When using query_dataset, use the $where parameter to apply SoQL filters. For example, $where: "poblacio > 5000" or $where: "comarca = 'Barcelonès'".
Is a Socrata App Token mandatory to use this server?
No, it is optional. However, providing a DADES_APP_TOKEN allows for higher rate limits and prevents throttling during intensive data exploration.
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.
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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