Open Data Euskadi MCP Server for Pydantic AIGive Pydantic AI instant access to 2 tools to Execute Sparql Query and Search Euskadi Content

Name: Open Data Euskadi
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 Open Data Euskadi through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Open Data Euskadi 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

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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 Open Data Euskadi "
            "(2 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Open Data Euskadi?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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EU AI ActCompliant

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<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 Open Data Euskadi MCP Server

Connect to the Open Data Euskadi ecosystem and interact with the Basque Government's official public data through natural conversation. This server provides direct access to a vast catalog of administrative and semantic information.

Pydantic AI validates every Open Data Euskadi 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

Content Search — Query the Euskadi.eus catalog for grants, public contracts, news, and administrative procedures using advanced filters.
Linked Open Data (LOD) — Execute raw SPARQL queries against the GraphDB endpoint to retrieve structured RDF data for deep analysis.
Administrative Transparency — Access real-time information on public announcements, board notices, and governmental publications.
Meteorological Data — Retrieve specialized datasets, including weather information from Euskalmet when authorized.
Metadata Filtering — Narrow down results by language, date ranges, and specific portal contexts to find exactly what you need.

The Open Data Euskadi 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 Open Data Euskadi tools available for Pydantic AI

When Pydantic AI connects to Open Data Euskadi through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, sparql, public-records, 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.

execute

Execute sparql query on Open Data Euskadi

Execute a SPARQL query against Open Data Euskadi

Search euskadi content on Open Data Euskadi

Search the Euskadi.eus content catalog

Connect Open Data Euskadi to Pydantic AI via MCP

Follow these steps to wire Open Data Euskadi 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 Open Data Euskadi with type-safe schemas

Why Use Pydantic AI with the Open Data Euskadi MCP Server

Pydantic AI provides unique advantages when paired with Open Data Euskadi 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 Open Data Euskadi integration code

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

Dependency injection system cleanly separates your Open Data Euskadi connection logic from agent behavior for testable, maintainable code

Open Data Euskadi + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Open Data Euskadi MCP Server delivers measurable value.

Type-safe data pipelines: query Open Data Euskadi with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Open Data Euskadi tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Open Data Euskadi and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Open Data Euskadi responses and write comprehensive agent tests

Example Prompts for Open Data Euskadi in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Open Data Euskadi immediately.

"Search for active grants (ayuda_subvencion) in the Euskadi content catalog."

"Execute a SPARQL query to list the first 10 datasets in the Linked Open Data graph."

"Find news related to 'sustainability' in the Euskadi portal context."

Troubleshooting Open Data Euskadi MCP Server with Pydantic AI

Common issues when connecting Open Data Euskadi to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Open Data Euskadi + Pydantic AI FAQ

Common questions about integrating Open Data Euskadi 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 Open Data Euskadi MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.