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How to Use the MDIC (Comércio Exterior) MCP in Pydantic AI

Query validated Brazilian trade data with Pydantic AI to ensure your economic pipelines never ingest corrupt customs schemas.

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Connect MDIC (Comércio Exterior) MCP to Pydantic AI

Create your Vinkius account to connect MDIC (Comércio Exterior) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Validate trade schemas with Pydantic AI

When your Pydantic AI agent queries Brazilian trade data using `get_package`, this MCP Server returns structured JSON. Pydantic AI immediately validates this payload against your defined Python models at runtime. If the Brazilian government changes their MDIC API schema, the Pydantic AI agent fails loudly and immediately. This prevents corrupted Brazilian export or import statistics from silently entering your database.

Query MDIC databases with Pydantic AI type safety

Run type-safe queries against raw Brazilian trade databases using `search_datastore`. The server returns specific columns of Brazilian customs data, which your Pydantic AI agent parses into strongly typed Python objects. It works with any LLM provider you configure. The type safety is enforced in your Python runtime, so your Brazilian trade analysis code stays clean.

Search Brazilian trade packages via Pydantic AI

Your Pydantic AI agent uses `search_packages` and `list_packages` to find specific Brazilian trade datasets. The resulting Brazilian package lists are structured, making it easy to extract metadata like update frequencies. Because the MCP toolset integration handles everything, your Pydantic AI agent can safely pass these validated Brazilian package IDs to other tools like `get_resource` without risking type errors. This guarantees that your Brazilian trade data pipeline only requests valid files.

Setup guide

Set up MDIC (Comércio Exterior) MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "mdic-comercio-exterior-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to MDIC (Comércio Exterior) tools.",
)

result = await agent.run("List recent MDIC (Comércio Exterior) transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MDIC (Comércio Exterior). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about MDIC (Comércio Exterior) MCP in Pydantic AI

Instantiate `MCPToolset` with the MDIC server's HTTP endpoint and pass it to your Pydantic AI Agent's `toolsets` list. This exposes all five Brazilian trade tools to your type-safe agent.
Pydantic AI will raise a validation error immediately during runtime. This guarantees that your Brazilian trade analysis pipeline never processes incomplete or malformed customs records.
Yes, your Pydantic AI agent can call `search_packages` using specific search queries. The returned Brazilian trade dataset list is parsed directly into your Pydantic models for safe processing.
Yes, you can connect to the external MDIC server using either Streamable HTTP or SSE transports. This ensures reliable data streaming when pulling large Brazilian trade packages.
All calls to fetch Brazilian export and import statistics are executed over secure, encrypted channels. No trade query parameters or schema validations are logged or stored on the hosting MCP infrastructure.

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