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Nubarium MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Nubarium "
            "(6 tools)."
        ),
    )

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

asyncio.run(main())
Nubarium
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About Nubarium MCP Server

Empower your AI agent to orchestrate your entire Mexican identity and corporate research workflow with Nubarium, the leading platform for Mexican data intelligence. By connecting Nubarium to your agent, you transform complex national lookups into a natural conversation. Your agent can instantly validate RFC (Tax ID) and CURP (Identity ID) records, audit company profiles, and verify legal representative status without you ever touching a manual portal. Whether you are conducting KYC checks or regional due diligence, your agent acts as a real-time institutional analyst, ensuring your Mexican data is always verified and up-to-date.

Pydantic AI validates every Nubarium tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

  • Identity Auditing — Validate Mexican CURP records and retrieve detailed personal metadata, including names and birth details.
  • Tax Oversight — Verify RFC registration status and retrieve comprehensive tax profiles for individuals and businesses.
  • Corporate Discovery — Search for Mexican companies by name and retrieve detailed dossiers to understand organizational status.
  • Compliance Intelligence — Verify the link between legal representatives and companies to assist in due diligence.
  • Operational Monitoring — Check API usage metadata to maintain strict control over your research volume.

The Nubarium MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Nubarium to Pydantic AI via MCP

Follow these steps to integrate the Nubarium MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 6 tools from Nubarium with type-safe schemas

Why Use Pydantic AI with the Nubarium MCP Server

Pydantic AI provides unique advantages when paired with Nubarium through the Model Context Protocol.

01

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

02

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

03

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

04

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

Nubarium + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Nubarium MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Nubarium MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Nubarium to Pydantic AI via MCP:

01

get_api_usage

Get current API usage metadata from Nubarium

02

get_mex_company_details

Get full details for a Mexican company by ID

03

search_mex_companies

Search for companies in Mexico by name

04

validate_mex_curp

Validate a Mexican CURP (identity ID) and retrieve details

05

validate_mex_legal_representative

Verify the legal representative status for an RFC and CURP

06

validate_mex_rfc

Validate a Mexican RFC (tax ID) and retrieve details

Example Prompts for Nubarium in Pydantic AI

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

01

"Validate the Mexican RFC 'ABC123456XYZ' using Nubarium."

02

"Check the Mexican CURP for 'John Doe'."

03

"Find companies in Mexico with name 'Soluciones Tech'."

Troubleshooting Nubarium MCP Server with Pydantic AI

Common issues when connecting Nubarium to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Nubarium + Pydantic AI FAQ

Common questions about integrating Nubarium MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect Nubarium to Pydantic AI

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.