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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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
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