Easyship MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Easyship integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Easyship with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Easyship tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Easyship and output structured, schema-compliant notifications
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:
get_easyship_account_metadata
Retrieve metadata and limits for your Easyship account
get_shipment_details
Get detailed information and tracking for a specific shipment
get_shipping_rates
Request shipping rates for a potential shipment
list_available_couriers
List all available couriers and their service capability boundaries
list_failed_deliveries
Identify shipments that have failed delivery or encountered issues (mock logic)
list_in_transit_shipments
Identify shipments that are currently in transit with a courier
list_latest_shipments
Identify the most recently created or updated shipments
list_logistics_shipments
List all shipments in your Easyship account
quick_shipping_volume_audit
Retrieve a high-level summary of shipment activity and success rates
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.
"List the most recent global shipments."
"Get shipping rates from USA to France for a 1kg parcel."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEasyship + Pydantic AI FAQ
Common questions about integrating Easyship MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Easyship with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
