Ayuntamiento de Barcelona (CKAN) MCP Server for Pydantic AIGive Pydantic AI instant access to 7 tools to Bcn Current Packages, Bcn Datastore Search, Bcn Datastore Search Sql, and more

Name: Ayuntamiento de Barcelona (CKAN)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Ayuntamiento de Barcelona (CKAN) MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 7 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 Ayuntamiento de Barcelona (CKAN) "
            "(7 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Ayuntamiento de Barcelona (CKAN)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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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 Ayuntamiento de Barcelona (CKAN) MCP Server

Connect to the Ayuntamiento de Barcelona (Open Data BCN) portal and transform public data into actionable insights through natural conversation. This MCP server leverages the CKAN API to provide real-time access to Barcelona's official data repository.

Pydantic AI validates every Ayuntamiento de Barcelona (CKAN) tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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 or search for specific topics like transportation, environment, or demographics using bcn_package_search.
Metadata Inspection — Retrieve detailed metadata for specific datasets and resources to understand data structures and update frequencies.
Deep Data Querying — Use bcn_datastore_search to filter records within CSV resources or execute complex bcn_datastore_search_sql queries for precise data extraction.
Resource Management — List all resources associated with a dataset, including download links and format specifications.

The Ayuntamiento de Barcelona (CKAN) MCP Server exposes 7 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 7 Ayuntamiento de Barcelona (CKAN) tools available for Pydantic AI

When Pydantic AI connects to Ayuntamiento de Barcelona (CKAN) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, urban-planning, public-statistics, 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.

bcn

Bcn current packages on Ayuntamiento de Barcelona (CKAN)

List datasets including their resources

bcn

Bcn datastore search on Ayuntamiento de Barcelona (CKAN)

Search and filter records within a specific CSV resource

bcn

Bcn datastore search sql on Ayuntamiento de Barcelona (CKAN)

The table name must be the resource_id wrapped in double quotes. Execute SQL queries directly against a resource

bcn

Bcn package list on Ayuntamiento de Barcelona (CKAN)

List all dataset names in the Open Data BCN catalogue

bcn

Bcn package search on Ayuntamiento de Barcelona (CKAN)

Search for datasets matching specific criteria

bcn

Bcn package show on Ayuntamiento de Barcelona (CKAN)

Get metadata for a specific dataset

bcn

Bcn resource show on Ayuntamiento de Barcelona (CKAN)

Get metadata for a specific resource

Connect Ayuntamiento de Barcelona (CKAN) to Pydantic AI via MCP

Follow these steps to wire Ayuntamiento de Barcelona (CKAN) 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 7 tools from Ayuntamiento de Barcelona (CKAN) with type-safe schemas

Why Use Pydantic AI with the Ayuntamiento de Barcelona (CKAN) MCP Server

Pydantic AI provides unique advantages when paired with Ayuntamiento de Barcelona (CKAN) 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 Ayuntamiento de Barcelona (CKAN) integration code

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

Dependency injection system cleanly separates your Ayuntamiento de Barcelona (CKAN) connection logic from agent behavior for testable, maintainable code

Ayuntamiento de Barcelona (CKAN) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Ayuntamiento de Barcelona (CKAN) MCP Server delivers measurable value.

Type-safe data pipelines: query Ayuntamiento de Barcelona (CKAN) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Ayuntamiento de Barcelona (CKAN) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Ayuntamiento de Barcelona (CKAN) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Ayuntamiento de Barcelona (CKAN) responses and write comprehensive agent tests

Example Prompts for Ayuntamiento de Barcelona (CKAN) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Ayuntamiento de Barcelona (CKAN) immediately.

"List the first 10 datasets available in the Barcelona Open Data catalogue."

"Search for datasets about 'wifi' in Barcelona and show their descriptions."

"Run a SQL query to get the count of records in resource '2023-accidents-gu-bcn'."

Troubleshooting Ayuntamiento de Barcelona (CKAN) MCP Server with Pydantic AI

Common issues when connecting Ayuntamiento de Barcelona (CKAN) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Ayuntamiento de Barcelona (CKAN) + Pydantic AI FAQ

Common questions about integrating Ayuntamiento de Barcelona (CKAN) 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 Ayuntamiento de Barcelona (CKAN) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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