How to Use the Giftpack MCP in Pydantic AI
Build type-safe corporate gifting agents with Pydantic AI and runtime schema validation.
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.
Pydantic AI Type-Safe Recipient Verification
The `get_member_details` tool fetches recipient profiles with strict runtime type validation. If the API returns a malformed shipping address or missing email, Pydantic AI raises a validation error instantly. This prevents your agent from processing broken records or sending gifts to incomplete addresses. Your agent uses `list_gifting_members` to pull the master list of recipients. Every single record is parsed against your Pydantic models, guaranteeing data integrity before you proceed to the next step.
Validated Campaign Creation
The `create_gifting_campaign` tool establishes a new gifting initiative with validated budget limits and timelines. Your agent calls `list_curated_gift_options` to retrieve curated items that match the recipient's profile. Because every response is typed, the agent confidently maps the gift options to your internal inventory models. This structure ensures that your agent never hallucinates gift IDs or campaign settings. If the platform returns unexpected payload structures, the MCP integration catches it before shipping occurs.
Executing and Modifying Campaigns
The `modify_gifting_campaign` tool updates active orders when shipping details or budgets change. Before launching, the agent calls `get_gifting_campaign_details` to verify that all modifications match corporate compliance rules. Once verified, `launch_gifting_campaign` triggers physical delivery. You can monitor progress by querying `list_campaign_receivers` to get structured delivery updates. The type-safe nature of this MCP Server makes it ideal for enterprise pipelines where errors are not tolerated.
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-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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