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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Medusa (Headless E-commerce Engine) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Medusa (Headless E-commerce Engine). "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
Medusa (Headless E-commerce Engine)
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LlamaIndex agents combine Medusa (Headless E-commerce Engine) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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 Medusa (Headless E-commerce Engine)

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

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

01

Data-first architecture: LlamaIndex agents combine Medusa (Headless E-commerce Engine) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Medusa (Headless E-commerce Engine) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Medusa (Headless E-commerce Engine), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Medusa (Headless E-commerce Engine) tools were called, what data was returned, and how it influenced the final answer

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

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

01

Hybrid search: combine Medusa (Headless E-commerce Engine) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Medusa (Headless E-commerce Engine) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Medusa (Headless E-commerce Engine) for fresh data

04

Analytical workflows: chain Medusa (Headless E-commerce Engine) queries with LlamaIndex's data connectors to build multi-source analytical reports

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

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

01

capture_payment

Capture payment for a Medusa order

02

get_customer

Get Medusa customer explicitly by ID

03

get_order

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

04

get_product

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

05

get_store_config

Get Medusa store configuration (supported currencies, default region)

06

list_collections

List Medusa product collections

07

list_customers

List Medusa CRM customers

08

list_orders

List Medusa orders

09

list_products

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

10

list_regions

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

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

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

01

"List all products in my Medusa store"

02

"Show me the last 5 orders placed today"

03

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

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

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Medusa (Headless E-commerce Engine) + LlamaIndex FAQ

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

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Medusa (Headless E-commerce Engine) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Medusa (Headless E-commerce Engine) to LlamaIndex

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