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 LangChain 10 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Medusa (Headless E-commerce Engine) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "medusa-headless-e-commerce-engine": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Medusa (Headless E-commerce Engine), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Medusa (Headless E-commerce Engine) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Medusa (Headless E-commerce Engine) MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Medusa (Headless E-commerce Engine) via MCP

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

LangChain provides unique advantages when paired with Medusa (Headless E-commerce Engine) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Medusa (Headless E-commerce Engine) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Medusa (Headless E-commerce Engine) queries for multi-turn workflows

Medusa (Headless E-commerce Engine) + LangChain Use Cases

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

RAG with live data: combine Medusa (Headless E-commerce Engine) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Medusa (Headless E-commerce Engine), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Medusa (Headless E-commerce Engine) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Medusa (Headless E-commerce Engine) tool call, measure latency, and optimize your agent's performance

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

These 10 tools become available when you connect Medusa (Headless E-commerce Engine) to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Medusa (Headless E-commerce Engine) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.