Feb 19, 2026 | 7 minute read
written by Wes Berry
Quick Summary: The Elastic Path API MCP Server makes it easy to connect AI assistants like Claude to your Elastic Path commerce data using the Model Context Protocol (MCP). With a simple NPM install, teams can query and manage products, pricing, promotions, carts, orders, analytics, currencies, and custom APIs using natural language instead of writing API calls. This unlocks faster workflows for commerce operations, merchandising, and multi-store management—all through conversational commands.
The Elastic Path API MCP Server is here. With a simple NPM install, AI assistants like Claude can work directly with your commerce data, including orders, products, promotions, pricing, analytics, and more.
The Model Context Protocol (MCP) has become the standard for connecting AI assistants to external data sources. Our MCP server brings that capability to Elastic Path, giving AI assistants deep operational access to your commerce platform.
Instead of navigating dashboards or writing API calls, you can simply ask questions in plain English: "Show me my most recent five orders" or "How many orders did we get this month?"
The server covers the breadth of Elastic Path's commerce capabilities: product and catalog management, pricing and pricebooks, promotions, orders and carts, currencies, custom data extensions, and sales analytics. This allows your AI assistant-of-choice to read data, create and update resources, and pull reports, all through natural language.
Installation takes seconds:
npm install -g @elasticpath/elasticpath-mcp
Configure it with your Elastic Path credentials, point your MCP client to the server, and you're ready to go. The server handles authentication securely using your existing Elastic Path credentials.
Once configured, your AI provider-of-choice can access the full suite of tools immediately. Ask about orders, browse products, check promotions, or pull analytics. The server translates your natural language requests into the appropriate API calls and returns the results in a conversational format.
Building promotions is one of the most powerful workflows the MCP server enables. Rather than manually assembling rule-based promotions through the API, you can describe what you want in plain English and let the AI assistant build it.
For example: "Create a promotion called Summer Sale that gives 20% off, running from June 1st through August 31st." The assistant creates the rule promotion with the correct structure and date range. Need to adjust it later? Just say "Update the Summer Sale promotion to 25% off and extend it through September 15th."
You can also review what's running across your store: "Show me active promotions and when they expire" gives you a quick audit of your current promotional landscape. And when you're working with carts, the assistant can apply promotion codes directly – useful for testing promotions end-to-end before a campaign goes live.
Managing products and catalog structure is another area where conversational access saves real time. You can create products, organize them into hierarchies, and assign them to categories without switching between multiple screens.
A typical workflow might look like: "Create a new product called 'Trail Running Shoe' with SKU TRS-001 in the Footwear category." The assistant handles creating the product and placing it in the right hierarchy node. You can also query your published catalog to verify products and configurations: "Show me the breadcrumb path for product TRS-001."
This is especially useful for teams managing large catalogs. Instead of clicking through pages of products, ask the assistant to find what you need, check its category placement, verify descriptions, and more.
The MCP server lets you work with flexible price functionality conversationally, as well: "Set the price for SKU TRS-001 to $129.99 USD and $149.99 CAD in the retail pricebook."
You can also clone entire pricebooks when setting up new markets: "Replicate the US retail pricebook as EU retail pricebook" gives you a starting point you can adjust.
For operations teams, fast access to order data is table stakes. The MCP server lets you pull order details through conversation.
"Show me the last 10 orders" or "Get order details for #12345 – was this order paid and completed?" You can also work with carts directly: create a cart, add products, apply promotions, and check out. This is useful for testing purchase flows and creating customer-like orders.
The MCP server helps your AI assistant connect to orders data, providing sales analytics on demand. Instead of building reports or waiting for scheduled dashboards, you can ask questions and get answers immediately.
Questions like “What was our total revenue last week in USD?” or “Show me daily order counts for the past month” return time series data you can act on. You can also track discount impact. Asking “How much did we give away in discounts over Black Friday weekend?” helps you evaluate whether a campaign was worth running.
Every commerce implementation has unique data needs. Elastic Path's Custom APIs let you extend the platform with your own data structures, and the MCP server gives you full access to create and manage them.
"Create a Custom API for product reviews with fields for rating, comment, and customer name." The assistant sets up the API definition, adds the fields with appropriate types, and you can immediately start creating entries. This is useful for prototyping data models, allowing quick iteration on structures and strategies before committing to final designs.
For teams selling internationally, currency management is ongoing work. The MCP server lets you manage currencies and formatting in a few words.
"Add Euro with exchange rate 0.92 relative to USD" or "Add the following list of currencies…" You can also check what's configured by asking "List our enabled currencies", providing a quick view of multi-currency setups.
For teams managing multiple stores or environments, the MCP server really shines. You can configure multiple instances pointing to different stores, each with their own credentials and context. Your AI assistant can then work across all of them in a single conversation.
This opens up powerful cross-store workflows. Need to compare order volumes between your US and European storefronts? Just ask. Want to see how a promotion performed across different regions? The data is right there.
One particularly useful pattern: moving configurations between environments. Say you've built a complex promotion in your staging environment and tested it thoroughly. Instead of manually recreating it in production, you can ask your AI assistant to read the promotion from staging and create it in your production store. The assistant handles the details, and you avoid the tedious (and error-prone) manual recreation.
The Elastic Path API MCP Server is available now on NPM. For setup instructions and detailed documentation, please check out the changelog announcement.
We're excited to see how teams put this to use. The combination of natural language interfaces and full commerce data access opens up workflows that simply weren't practical before. Let us know what you build.
npm install -g @elasticpath/elasticpath-mcp.
Schedule a demo to see how Elastic Path delivers unified commerce for leading global brands.