Dades Obertes Catalunya MCP Server for Pydantic AIGive Pydantic AI instant access to 2 tools to Query Dataset and Search Catalog

Name: Dades Obertes Catalunya
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Dades Obertes Catalunya through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Dades Obertes Catalunya MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 2 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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Dades Obertes Catalunya "
            "(2 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Dades Obertes Catalunya?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 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.

Pydantic AI validates every Dades Obertes Catalunya tool response against typed schemas, catching data inconsistencies at build time. Connect 2 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Catalog Discovery — Search for datasets by keywords, categories, or tags to find relevant public information using the search_catalog tool.
Advanced Querying — Use SoQL (Socrata Query Language) via query_dataset to 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.

The Dades Obertes Catalunya MCP Server exposes 2 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 Dades Obertes Catalunya tools available for Pydantic AI

When Pydantic AI connects to Dades Obertes Catalunya through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, public-sector, dataset-discovery, 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.

query

Query dataset on Dades Obertes Catalunya

g., abcd-1234). Supports SoQL parameters like $select, $where, $limit. Query a specific dataset using SoQL parameters

Search catalog on Dades Obertes Catalunya

Returns dataset identifiers needed for the query_dataset tool. Search the Dades Obertes Catalunya catalog for datasets

Connect Dades Obertes Catalunya to Pydantic AI via MCP

Follow these steps to wire Dades Obertes Catalunya into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 2 tools from Dades Obertes Catalunya with type-safe schemas

Why Use Pydantic AI with the Dades Obertes Catalunya MCP Server

Pydantic AI provides unique advantages when paired with Dades Obertes Catalunya through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Dades Obertes Catalunya integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Dades Obertes Catalunya connection logic from agent behavior for testable, maintainable code

Dades Obertes Catalunya + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Dades Obertes Catalunya MCP Server delivers measurable value.

Type-safe data pipelines: query Dades Obertes Catalunya with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Dades Obertes Catalunya tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Dades Obertes Catalunya and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Dades Obertes Catalunya responses and write comprehensive agent tests

Example Prompts for Dades Obertes Catalunya in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Dades Obertes Catalunya immediately.

"Search the catalog for datasets related to 'hospitals' in Catalonia."

"Query dataset 'abcd-1234' and show me the top 5 results where population is over 10000."

"List the columns available in dataset 'xyz1-2345' using a full-text search for 'electric'."

Troubleshooting Dades Obertes Catalunya MCP Server with Pydantic AI

Common issues when connecting Dades Obertes Catalunya to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Dades Obertes Catalunya + Pydantic AI FAQ

Common questions about integrating Dades Obertes Catalunya MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Dades Obertes Catalunya MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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