EasyPost 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 EasyPost 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 EasyPost "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in EasyPost?"
)
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 EasyPost MCP Server
Integrate EasyPost, the leading shipping API for e-commerce, directly into your AI workflow. Manage your outbound shipments and carrier rates, track packages in real-time with detailed event logs, monitor your connected carrier accounts (UPS, FedEx, USPS, etc.), and oversee your shipping addresses using natural language.
Pydantic AI validates every EasyPost 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, rates, and carrier options for all your logistics shipments.
- Real-time Tracking — Monitor active trackers, resolving real-time transit statuses, checkpoint events, and estimated delivery dates.
- Carrier Management — Access and monitor all connected carrier accounts, verifying active service capability boundaries across your fleet.
- Delivery Auditing — Retrieve high-level summaries of shipment activity, success rates, and identify packages currently in transit.
The EasyPost 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 EasyPost to Pydantic AI via MCP
Follow these steps to integrate the EasyPost 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 EasyPost with type-safe schemas
Why Use Pydantic AI with the EasyPost MCP Server
Pydantic AI provides unique advantages when paired with EasyPost 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 EasyPost integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your EasyPost connection logic from agent behavior for testable, maintainable code
EasyPost + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the EasyPost MCP Server delivers measurable value.
Type-safe data pipelines: query EasyPost with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple EasyPost tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query EasyPost and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock EasyPost responses and write comprehensive agent tests
EasyPost MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect EasyPost to Pydantic AI via MCP:
get_easypost_account_metadata
Retrieve metadata and usage limits for your EasyPost account
get_shipment_details
Get detailed information and rates for a specific shipment
get_tracking_details
Get real-time tracking events and status for a specific tracker
list_active_trackers
List all active tracking objects in your account
list_carrier_accounts
List all connected carrier accounts (e.g. UPS, FedEx, USPS)
list_in_transit_packages
Identify shipments that are currently in transit with a carrier
list_latest_shipments
Identify the most recently created shipments
list_shipping_shipments
List all shipments created in your EasyPost account
quick_delivery_health_audit
Retrieve a high-level summary of shipment activity and delivery success rates
search_by_tracking_code
Search for a tracker using a specific tracking code
Example Prompts for EasyPost in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with EasyPost immediately.
"List all active package trackers."
"Show me the details for shipment 'shp_998877'."
"Which carrier accounts are connected to my account?"
Troubleshooting EasyPost MCP Server with Pydantic AI
Common issues when connecting EasyPost to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEasyPost + Pydantic AI FAQ
Common questions about integrating EasyPost 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 EasyPost 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 EasyPost to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.