How to Use the Giftpack MCP in Pydantic AI
Automate your corporate gifting with Pydantic AI to guarantee type-safe recipient validation and zero runtime errors.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Giftpack MCP to Pydantic AI
Create your Vinkius account to connect Giftpack 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.
Type-safe recipient ingestion in Pydantic AI
The `create_recipient` tool enforces strict data validation when adding new contacts to your Pydantic AI agent. If a phone number or email is malformed, the framework raises a validation error immediately rather than sending corrupt data to the shipping API. You can then use `get_recipient_details` to verify the parsed contact object. This keeps your shipping database clean and prevents failed physical deliveries due to typos.
Safe campaign creation using Pydantic AI MCP Server
The `create_campaign` tool requires strict schema validation before your Pydantic AI agent can spin up a new corporate gifting run. This ensures that budget limits and campaign titles always match your exact database types. Your agent can safely query `list_gifting_campaigns` to verify existing campaign IDs. This prevents runtime crashes when matching recipients to active corporate budgets.
Validated order fulfillment and tracking
The `get_order_fulfillment_status` tool parses shipping updates into strict Python classes within your Pydantic AI environment. Your agent reads the structured tracking payload without risking silent errors from unexpected API format changes. If you need to audit past shipments, `list_gift_orders` returns a validated list of recent orders. This integration ensures your financial reporting scripts always receive clean, typed data.
Set up Giftpack 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": {
"giftpack-alternative-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Giftpack tools.",
)
result = await agent.run("List recent Giftpack 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 Giftpack. 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 Giftpack MCP in Pydantic AI
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