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Easyship MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Easyship through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Easyship "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Easyship?"
    )
    print(result.data)

asyncio.run(main())
Easyship
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Easyship MCP Server

Integrate Easyship, the leading global shipping platform for e-commerce, directly into your AI workflow. Manage your cross-border shipments and carrier rates, track packages in real-time with detailed checkpoint logs, monitor available couriers and their service levels, and oversee your logistics operations using natural language.

Pydantic AI validates every Easyship tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Shipment Oversight — List and retrieve detailed information and real-time status for all your global logistics shipments.
  • Rate Intelligence — Request instant shipping quotes and estimated delivery times for various couriers based on parcel details.
  • Tracking Monitoring — Monitor active shipments, resolving real-time transit statuses, courier events, and delivery receipts.
  • Carrier Management — Access and monitor all available couriers and their specific service capability boundaries.

The Easyship MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Easyship to Pydantic AI via MCP

Follow these steps to integrate the Easyship MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Easyship with type-safe schemas

Why Use Pydantic AI with the Easyship MCP Server

Pydantic AI provides unique advantages when paired with Easyship through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Easyship integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Easyship connection logic from agent behavior for testable, maintainable code

Easyship + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Easyship MCP Server delivers measurable value.

01

Type-safe data pipelines: query Easyship with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Easyship tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Easyship and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Easyship responses and write comprehensive agent tests

Easyship MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Easyship to Pydantic AI via MCP:

01

get_easyship_account_metadata

Retrieve metadata and limits for your Easyship account

02

get_shipment_details

Get detailed information and tracking for a specific shipment

03

get_shipping_rates

Request shipping rates for a potential shipment

04

list_available_couriers

List all available couriers and their service capability boundaries

05

list_failed_deliveries

Identify shipments that have failed delivery or encountered issues (mock logic)

06

list_in_transit_shipments

Identify shipments that are currently in transit with a courier

07

list_latest_shipments

Identify the most recently created or updated shipments

08

list_logistics_shipments

List all shipments in your Easyship account

09

quick_shipping_volume_audit

Retrieve a high-level summary of shipment activity and success rates

10

search_shipments_by_reference

Search for shipments using a reference ID or keyword

Example Prompts for Easyship in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Easyship immediately.

01

"List the most recent global shipments."

02

"Get shipping rates from USA to France for a 1kg parcel."

03

"Check the status of shipment 'ES-12345678'."

Troubleshooting Easyship MCP Server with Pydantic AI

Common issues when connecting Easyship to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Easyship + Pydantic AI FAQ

Common questions about integrating Easyship MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Easyship MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Easyship to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.