How to Use the Shipday MCP in Pydantic AI
Guarantee perfect data structure validation for Shipday using Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Shipday MCP to Pydantic AI
Create your Vinkius account to connect Shipday to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Retrieving Typed Order Details
Need specific information on a shipment? Call `get_order` and the response will be validated against your defined Pydantic models. You'll never get unexpected fields. Similarly, if you need external carrier details, use `get_carrier_order`. The data is guaranteed to match your schema at runtime, preventing silent corruption.
Tracking Status with Schema Enforcement
Use `get_tracking_progress` to check the status of a delivery. The resulting data stream ensures that the progress updates (like ETA or current location) always conform to your expected Python types. If you need to see all ongoing jobs, `list_active_orders` gives you a validated list every time.
Setting Up and Assigning Jobs
Start a job by calling `create_order`, passing customer details and restaurant info. This initial data must conform to the required types for the agent to proceed. Once the order exists, use `assign_driver` to link it to a worker ID, ensuring both IDs are valid strings before proceeding with the delivery.
Set up Shipday 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": {
"shipday-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Shipday tools.",
)
result = await agent.run("List recent Shipday 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 Shipday. 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 Shipday MCP in Pydantic AI
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