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How to Use the Brilliant Made MCP in Pydantic AI

Build type-safe swag workflows with Pydantic AI, validating every Brilliant Made MCP Server tool call at runtime.

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Pydantic AI

Connect Brilliant Made MCP to Pydantic AI

Create your Vinkius account to connect Brilliant Made 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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Type-Safe Swag Ordering with Pydantic AI

Your agent executes `create_order` and `cancel_order` with strict runtime validation to prevent malformed shipping payloads. Every argument passed to the API must match your Pydantic schemas, stopping database corruption before it happens. If the agent attempts to write an invalid zip code or an incorrect country format, the execution fails loudly. This guarantees your physical shipments are backed by clean, validated data.

Strict Inventory and Variant Validation

The agent checks stock by running `get_inventory_status` and `get_product_variant` to ensure data integrity. Pydantic AI parses the raw JSON response directly into typed Python objects, eliminating silent failures. You don't have to worry about the API returning unexpected null values or modified types. If the warehouse updates its schema, your agent catches the mismatch immediately during runtime.

Validated Gift Card Management

Your code calls `create_gift_card` and `list_gift_cards` to manage store credit without worrying about float precision errors. The framework validates that reward amounts match your exact integer or decimal requirements. By using the `MCPToolset` with your Vinkius HTTP endpoint, you connect your type-safe agent directly to the storefront via our MCP Server. This keeps your financial rewards predictable and fully audited.

Setup guide

Set up Brilliant Made 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": {
        "brilliant-made-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Brilliant Made 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 Brilliant Made. 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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Built-in savings

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Brilliant Made MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` via pip and import `MCPToolset`. Pass your Vinkius HTTP URL to the toolset, then add it to your agent constructor.
The framework raises a validation error immediately. This prevents your agent from making decisions based on malformed inventory or order details.
Yes. The framework handles async MCP tool execution, allowing the agent to fetch lists using `list_products` and `list_orders` simultaneously.
This setup supports both Streamable HTTP and SSE transports. You just need to run your server externally and point the toolset to the correct endpoint.
Gift card codes and order data are validated locally in memory before transmission. The underlying network layer uses encrypted TLS tunnels, and the Vinkius sandbox never persists your API payloads.

Start using the Brilliant Made MCP today

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