Can I capture a payment for an authorized order using my agent?

Yes. Use the `capture_payment` tool with a specific Order UUID. Your agent will trigger the action against your payment provider (e.g., Stripe) to finalize the fund transfer for the order immediately.

How do I check the tax rates and currencies for a specific region?

The `list_regions` tool retrieves all configured geographical zones in Medusa. Your agent will expose the localized currency logic, tax rates, and enabled payment methods assigned to each region.

Can my agent retrieve the detailed variants and prices for a product?

Absolutely. Use the `get_product` tool by providing the Product ID. Your agent will fetch the full object including nested variants, options (size, color), and pricing arrays for all configured regions.

Medusa (Headless E-commerce Engine) MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Medusa (Headless E-commerce Engine)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Medusa (Headless E-commerce Engine) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Medusa (Headless E-commerce Engine)?"
    )
    print(result.data)

asyncio.run(main())

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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 Medusa (Headless E-commerce Engine) MCP Server

Connect your MedusaJS store to any AI agent and take full control of your enterprise-grade headless commerce operations, catalog management, and customer CRM through natural conversation.

Pydantic AI validates every Medusa (Headless E-commerce Engine) 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

Product Orchestration — List and retrieve detailed product metadata by ID, including pricing, SKU-level variants, and media galleries directly from your agent
Order Monitoring — List recent commerce orders and retrieve full line-item details, shipping addresses, payment statuses, and fulfillment histories securely
Payment Capture — Trigger manual capture actions for authorized orders to move funds from the customer vault into your store's processing pipeline in real-time
Customer CRM — Manage your registered customer directory, retrieve detailed profiles, and audit internal flags or default shipping addresses natively
Regional Auditing — List configured store regions to understand localized tax rates, currency logic, and enabled payment providers across different geographies
Collection Management — Navigate product collections and taxonomies to verify store organization and group-based product distributions efficiently
Store Configuration — Extract store-level metadata including base URLs and default region settings to ensure accurate cross-border commerce auditing

The Medusa (Headless E-commerce Engine) 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 Medusa (Headless E-commerce Engine) to Pydantic AI via MCP

Follow these steps to integrate the Medusa (Headless E-commerce Engine) 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 Medusa (Headless E-commerce Engine) with type-safe schemas

Why Use Pydantic AI with the Medusa (Headless E-commerce Engine) MCP Server

Pydantic AI provides unique advantages when paired with Medusa (Headless E-commerce Engine) 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 Medusa (Headless E-commerce Engine) integration code

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

Dependency injection system cleanly separates your Medusa (Headless E-commerce Engine) connection logic from agent behavior for testable, maintainable code

Medusa (Headless E-commerce Engine) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Medusa (Headless E-commerce Engine) MCP Server delivers measurable value.

Type-safe data pipelines: query Medusa (Headless E-commerce Engine) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Medusa (Headless E-commerce Engine) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Medusa (Headless E-commerce Engine) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Medusa (Headless E-commerce Engine) responses and write comprehensive agent tests

Medusa (Headless E-commerce Engine) MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Medusa (Headless E-commerce Engine) to Pydantic AI via MCP:

capture_payment

Capture payment for a Medusa order

get_customer

Get Medusa customer explicitly by ID

get_order

Get Medusa order by ID. Returns line items, billing/shipping addresses, payment status, fulfillment status

get_product

Get Medusa product by ID. Returns full details: variants, options, prices

get_store_config

Get Medusa store configuration (supported currencies, default region)

list_collections

List Medusa product collections

list_customers

List Medusa CRM customers

list_orders

List Medusa orders

list_products

List Medusa products. Medusa is a headless open-source commerce engine

list_regions

List Medusa regions (currency, tax rates, payment providers)

Example Prompts for Medusa (Headless E-commerce Engine) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Medusa (Headless E-commerce Engine) immediately.

"List all products in my Medusa store"

"Show me the last 5 orders placed today"

"Capture the payment for order ID 'order-987'"

Troubleshooting Medusa (Headless E-commerce Engine) MCP Server with Pydantic AI

Common issues when connecting Medusa (Headless E-commerce Engine) to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Medusa (Headless E-commerce Engine) + Pydantic AI FAQ

Common questions about integrating Medusa (Headless E-commerce Engine) MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Medusa (Headless E-commerce Engine) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.