Fashion teams are increasingly using AI for analysis, reporting, development, and everyday problem solving. AI applications become much more useful when they can work with the business context already inside the systems running day-to-day operations.
When product, inventory, order, customer, purchasing, and financial data live inside the ERP, using that information outside the platform can otherwise mean exporting reports, uploading files, or manually recreating context.
That is where ApparelMagic MCP comes into play. It creates a connection between supported applications and the data already managed inside ApparelMagic.
What is ApparelMagic MCP?
ApparelMagic MCP is a Model Context Protocol (MCP) connection that allows compatible AI applications to work with client admin-approved ApparelMagic ERP and PLM data.
Instead of requiring users to export reports or manually recreate business context, the connection can make supported data and capabilities available directly to a connected application. This can include product, inventory, order, customer, purchasing, warehouse, financial, and product development information.
Once connected, users can ask questions, analyze records, run supported queries, and, when permitted, create or update information. ApparelMagic remains the system of record, while MCP provides the structured connection between business data and compatible AI applications.
What Can You Do With ApparelMagic MCP?
ApparelMagic MCP lets users work with ERP data directly from a compatible AI application. They can search and analyze records, compare periods, run reports, find information across ApparelMagic, and use supported actions when Full Access is enabled.
That means users can start with the business question instead of first preparing a report or structuring an API request. For example:
- “Show me my 10 most recent orders”
- “Which SKUs have the lowest inventory?”
- “How many invoices were created this month vs. last month?”
- “Which purchase orders are expected to arrive this week?”
- “Which styles have the highest sales but the lowest available inventory?”
From there, users can continue refining the question, comparing results, or investigating related records without starting over with a new export.
Which AI Platforms Can Connect to ApparelMagic MCP?
ApparelMagic MCP connects with many of the most popular AI tools and development environments, including:
- ChatGPT
- Claude Code & Claude Desktop
- Gemini
- Cursor
- Visual Studio Code / VS Code Copilot
- Codex
- Copilot Studio
- Other MCP-compatible clients that support Streamable HTTP
The connection method varies by platform. Cursor and VS Code support HTTP-based configuration, Claude Code can connect through a terminal command, and Claude Desktop uses the mcp-remote bridge and requires Node.js 18 or later.
Other compatible MCP clients can connect through ApparelMagic’s Streamable HTTP endpoint.
A Practical ApparelMagic MCP Workflow
Consider a developer or operations team already working in Cursor to build an internal tool, automate a workflow, or troubleshoot an ecommerce integration. Instead of switching to ApparelMagic, exporting data, and then bringing that information back into the development environment, they can use ApparelMagic MCP to work with current ERP context directly from Cursor.
For example, they could ask “Show me the open wholesale orders for this customer and the inventory available for each SKU” while building or testing an order-management workflow. The connected application can query the relevant ApparelMagic records and use that information alongside the code or logic already being worked on.
The same idea applies in Claude. A team analyzing a business issue, preparing a report, or exploring a process can bring approved ApparelMagic data into the conversation and continue asking follow-up questions without repeatedly exporting new files.
ApparelMagic MCP Can Read Data and Take Actions
ApparelMagic MCP can support both read-only and read-and-write workflows depending on how the connection is configured. With Read Only access, users can query and analyze ERP data without changing records, while Full Access can also allow supported actions to create or update information directly from the connected AI application.
For example, a user could analyze a style and then add a new colorway without leaving the AI environment to complete the change manually in the ERP. This gives teams the flexibility to use MCP for reporting and analysis or extend it into approved workflows where taking action directly from the connected application adds value.
How ApparelMagic MCP Handles Permissions
Each ApparelMagic MCP token (i.e. key) is tied to a specific ApparelMagic user, so the connection follows that user’s existing data access and permissions. Administrators can choose the appropriate access level, optionally set an expiration date, and revoke the token whenever the connection is no longer needed.
This keeps MCP access aligned with the controls already used inside ApparelMagic, helping teams decide who can connect, what information they can work with, and whether the connection is limited to analysis or allowed to perform supported actions.
How Do You Set Up ApparelMagic MCP?
Setup begins inside ApparelMagic under AI Settings → MCP.
An administrator creates a token, assigns it to an ApparelMagic user, selects Read Only or Full Access, and can optionally set an expiration date. The token must be copied when it is created because it is not displayed again afterward.
The token is then added to the configuration of the selected AI tool. Once connected, the setup can be verified with a simple request for live ApparelMagic information, such as recent orders, low-inventory SKUs, or invoice activity.
ApparelMagic MCP requires an Enterprise plan with API access enabled.
How Is ApparelMagic MCP Different From Using the API?
ApparelMagic’s API remains important for integrations and custom software workflows, while MCP provides a different way for compatible AI tools to work with many of those capabilities.
Traditional API work typically requires a developer or system to structure requests, call endpoints, and process responses programmatically. ApparelMagic MCP lets the AI interpret a natural-language request and use the appropriate supported tools to find records, aggregate information, or execute approved actions.
The API is therefore well suited to programmed system-to-system connections, while MCP creates another interaction model for users working through compatible AI environments.
MCP does not replace existing Shopify, warehouse, accounting, or other API integrations. Those connections can continue moving data between systems while MCP gives AI tools a structured way to work with the business context already available inside ApparelMagic.
How Is ApparelMagic MCP Different From ApparelMagic Copilot?
ApparelMagic Copilot and ApparelMagic MCP both help users work with ERP data through AI, but they are designed for different environments.
ApparelMagic Copilot is the built-in AI assistant inside ApparelMagic. Users can ask questions, run reports, work with records, and complete supported tasks without leaving the platform.
ApparelMagic MCP extends that connection to compatible external AI applications such as Claude, Cursor, and VS Code. It allows those environments to work with approved ApparelMagic ERP and PLM data as part of a broader analysis, development, or workflow.
The difference is mainly where the work starts. Copilot brings AI into ApparelMagic, while MCP brings ApparelMagic context into external AI applications.
How MCP Fits Into ApparelMagic Intelligence
ApparelMagic Intelligence brings together several AI capabilities designed for different types of work across apparel operations.
- AI Agents: monitor specialized areas such as inventory, sales, finance, and product development on a recurring basis.
- Custom Agents: let teams build AI-driven workflows around their own rules, schedules, and processes.
- ApparelMagic Copilot: provides on-demand AI assistance directly inside ApparelMagic.
- ApparelMagic MCP: extends ApparelMagic data and capabilities into compatible external AI applications.
- AI Designer: supports product development from concept generation and refinement through model visualization and style creation.
Together, these capabilities support different ways of working with AI, from recurring monitoring and custom workflows to on-demand assistance, external AI connections, and product design.
Final Thoughts
ApparelMagic MCP gives compatible AI tools a direct way to work with the operational data already managed inside ApparelMagic. Instead of repeatedly exporting reports or rebuilding business context, teams can ask questions, analyze live records, and, when appropriate, take supported actions from the AI environment they already use.
Combined with ApparelMagic Copilot and AI Agents, MCP gives teams another way to bring AI closer to day-to-day apparel operations while ApparelMagic remains the system managing the underlying business data.
Want to see how ApparelMagic MCP can fit into your team’s AI workflow? Explore ApparelMagic MCP or request a demo to see it in action.
