Datos Abiertos Castilla-La Mancha MCP Server for Pydantic AIGive Pydantic AI instant access to 5 tools to Get Dataset, Get Resource, List Datasets, and more

Name: Datos Abiertos Castilla-La Mancha
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 Datos Abiertos Castilla-La Mancha through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Datos Abiertos Castilla-La Mancha MCP Server for Pydantic AI 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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+ other MCP clients

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 Datos Abiertos Castilla-La Mancha "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Datos Abiertos Castilla-La Mancha?"
    )
    print(result.data)

asyncio.run(main())

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About Datos Abiertos Castilla-La Mancha MCP Server

Connect to the Castilla-La Mancha Open Data portal and explore a wealth of public information from the Spanish region directly through your AI agent. This server allows you to navigate the official CKAN-based repository to find datasets related to economy, environment, health, and more.

Pydantic AI validates every Datos Abiertos Castilla-La Mancha tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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

Dataset Discovery — List all available datasets and browse through the portal's catalog using tags and identifiers.
Metadata Inspection — Fetch detailed information about specific datasets, including descriptions, update frequency, and maintainers.
Resource Access — Identify specific files (CSV, JSON, PDF) within a dataset and retrieve their direct access metadata.
Data Querying — Search and filter records directly within tabular resources (CSV/Datastore) without downloading the entire file.
Tag Navigation — Explore the organizational structure of the portal by listing all active tags and categories.

The Datos Abiertos Castilla-La Mancha MCP Server exposes 5 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 5 Datos Abiertos Castilla-La Mancha tools available for Pydantic AI

When Pydantic AI connects to Datos Abiertos Castilla-La Mancha through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, spain, castilla-la-mancha, 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 Datos Abiertos Castilla-La Mancha

Get details for a specific dataset

get

Get resource on Datos Abiertos Castilla-La Mancha

Get details for a specific resource

list

List datasets on Datos Abiertos Castilla-La Mancha

List all datasets in the portal

list

List tags on Datos Abiertos Castilla-La Mancha

List all tags in the portal

Search datastore on Datos Abiertos Castilla-La Mancha

Search records within a datastore resource

Connect Datos Abiertos Castilla-La Mancha to Pydantic AI via MCP

Follow these steps to wire Datos Abiertos Castilla-La Mancha 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 5 tools from Datos Abiertos Castilla-La Mancha with type-safe schemas

Why Use Pydantic AI with the Datos Abiertos Castilla-La Mancha MCP Server

Pydantic AI provides unique advantages when paired with Datos Abiertos Castilla-La Mancha 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 Datos Abiertos Castilla-La Mancha integration code

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

Dependency injection system cleanly separates your Datos Abiertos Castilla-La Mancha connection logic from agent behavior for testable, maintainable code

Datos Abiertos Castilla-La Mancha + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Datos Abiertos Castilla-La Mancha MCP Server delivers measurable value.

Type-safe data pipelines: query Datos Abiertos Castilla-La Mancha with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Datos Abiertos Castilla-La Mancha tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Datos Abiertos Castilla-La Mancha and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Datos Abiertos Castilla-La Mancha responses and write comprehensive agent tests

Example Prompts for Datos Abiertos Castilla-La Mancha in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Datos Abiertos Castilla-La Mancha immediately.

"List all available datasets from the Castilla-La Mancha Open Data portal."

"Search for the first 5 records in the datastore resource 'd4e5f6a7-b8c9'."

"Get the metadata and resources for the dataset 'centros-sanitarios'."

Troubleshooting Datos Abiertos Castilla-La Mancha MCP Server with Pydantic AI

Common issues when connecting Datos Abiertos Castilla-La Mancha to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Datos Abiertos Castilla-La Mancha + Pydantic AI FAQ

Common questions about integrating Datos Abiertos Castilla-La Mancha 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 Datos Abiertos Castilla-La Mancha MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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