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How to Use the Gift Up! MCP in Pydantic AI

Run type-safe Gift Up! order tracking and card redemptions with strict Pydantic AI runtime validation.

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…and any MCP-compatible client

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Pydantic AI

Connect Gift Up! MCP to Pydantic AI

Create your Vinkius account to connect Gift Up! 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 gift card balance validation

The `validate_gift_card` tool checks the exact balance and validity of a gift card while enforcing strict Pydantic AI schemas on the response. This ensures your python code receives guaranteed data types, preventing runtime crashes from unexpected API payloads. This MCP Server setup guarantees that your agent never acts on corrupted or malformed balance data when calling `get_card_details` to retrieve history.

Strict schema validation for card redemptions

The `redeem_gift_card` tool executes partial card redemptions with strict runtime type checks on the deduction amount. Using Pydantic AI, your agent validates that the requested charge is a valid positive float before sending the API request. This MCP Server tool handles the full sweep under the same type-safe constraints when calling `redeem_gift_card_full`. This prevents accidental double-spending or negative balance errors in your e-commerce pipeline.

Structured metadata and order queries

The `update_order_metadata` tool modifies custom fields on an order while validating the payload against your defined Pydantic models. This ensures your support agents only write structured, clean tracking notes back to the Gift Up! database. When searching for historical data, `find_order_by_ref` and `get_order_details` return strictly typed objects. Your Pydantic AI system can confidently parse these records to resolve customer disputes without silent failures.

Setup guide

Set up Gift Up! 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": {
        "gift-up-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Gift Up! 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 Gift Up!. 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 Gift Up! MCP in Pydantic AI

You use the `MCPToolset` class initialized with your Vinkius HTTP endpoint. This registers all 12 Gift Up! tools with your Pydantic AI agent, exposing them as fully typed functions.
The system will raise a validation error immediately instead of passing bad data to the model. This ensures your Pydantic AI agent fails loudly and safely before executing critical financial tools like `redeem_gift_card`.
Yes, because Pydantic AI is model-agnostic, you can use these tools with any supported model. Your local or commercial model will call `get_card_details` using the exact same JSON schema.
Your agent can call `verify_api_connection` during startup to ensure the API is reachable. This prevents Pydantic AI from running complex reasoning loops when the backend is offline.
All raw API transactions, card codes, and order records are proxied through Vinkius's ephemeral sandboxes. Pydantic AI only interacts with the validated outputs, keeping your master merchant keys hidden from the agent's runtime environment.

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