CNMC (Comisión Mercados y Competencia) MCP Server for Pydantic AIGive Pydantic AI instant access to 2 tools to Datastore Search and Package Search

Name: CNMC (Comisión Mercados y Competencia)
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The CNMC (Comisión Mercados y Competencia) 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 CNMC (Comisión Mercados y Competencia) "
            "(2 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in CNMC (Comisión Mercados y Competencia)?"
    )
    print(result.data)

asyncio.run(main())

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About CNMC (Comisión Mercados y Competencia) MCP Server

Connect to the official Open Data portal of the CNMC (Comisión Nacional de los Mercados y la Competencia). This server allows AI agents to explore and extract public data regarding telecommunications, energy, transport, and postal sectors in Spain.

Pydantic AI validates every CNMC (Comisión Mercados y Competencia) 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 — Use package_search to find datasets, resources, and metadata using keywords or specific queries.
Data Extraction — Use datastore_search to pull actual records and rows from specific resources using their unique IDs.
Granular Filtering — Apply JSON filters to narrow down results to specific dates, regions, or categories within a dataset.
Resource Inspection — Identify update frequencies, license types, and resource formats before processing data.

The CNMC (Comisión Mercados y Competencia) 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 CNMC (Comisión Mercados y Competencia) tools available for Pydantic AI

When Pydantic AI connects to CNMC (Comisión Mercados y Competencia) through Vinkius, your AI agent gets direct access to every tool listed below — spanning spain, market-regulation, open-data, 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.

datastore

Datastore search on CNMC (Comisión Mercados y Competencia)

g., a CSV file within a dataset). Requires a resource_id obtained via package_search. Retrieve actual records from a specific CNMC resource

package

Package search on CNMC (Comisión Mercados y Competencia)

Use this to find the resource_id needed for datastore_search. Search for datasets and resources in the CNMC catalog

Connect CNMC (Comisión Mercados y Competencia) to Pydantic AI via MCP

Follow these steps to wire CNMC (Comisión Mercados y Competencia) 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 CNMC (Comisión Mercados y Competencia) with type-safe schemas

Why Use Pydantic AI with the CNMC (Comisión Mercados y Competencia) MCP Server

Pydantic AI provides unique advantages when paired with CNMC (Comisión Mercados y Competencia) 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 CNMC (Comisión Mercados y Competencia) integration code

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

Dependency injection system cleanly separates your CNMC (Comisión Mercados y Competencia) connection logic from agent behavior for testable, maintainable code

CNMC (Comisión Mercados y Competencia) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the CNMC (Comisión Mercados y Competencia) MCP Server delivers measurable value.

Type-safe data pipelines: query CNMC (Comisión Mercados y Competencia) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple CNMC (Comisión Mercados y Competencia) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query CNMC (Comisión Mercados y Competencia) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock CNMC (Comisión Mercados y Competencia) responses and write comprehensive agent tests

Example Prompts for CNMC (Comisión Mercados y Competencia) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with CNMC (Comisión Mercados y Competencia) immediately.

"Search for datasets related to 'energía eléctrica' in the CNMC catalog."

"Get the first 5 records from the CNMC resource '06935639-5561-4608-9580-59367208479e'."

"Search for 'gas natural' datasets and filter the results for the year 2022."

Troubleshooting CNMC (Comisión Mercados y Competencia) MCP Server with Pydantic AI

Common issues when connecting CNMC (Comisión Mercados y Competencia) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CNMC (Comisión Mercados y Competencia) + Pydantic AI FAQ

Common questions about integrating CNMC (Comisión Mercados y Competencia) 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 CNMC (Comisión Mercados y Competencia) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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