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Adobe Commerce Dev MCP Server

MCP Server

Instant GraphQL access to Adobe Commerce for dev tools

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Updated Aug 7, 2025

About

The Adobe Commerce Dev MCP Server provides a lightweight Model Context Protocol interface that lets developers and AI tools query and introspect Adobe Commerce GraphQL APIs without hosting a local server.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Adobe Commerce Dev MCP Server

The Adobe Commerce Dev MCP Server bridges the gap between AI assistants and the powerful GraphQL API that powers Adobe Commerce. By exposing a small, well‑defined set of tools and prompts over the Model Context Protocol, it allows developers to let Claude or other AI agents query, explore, and manipulate product catalog data, inventory levels, order histories, and more—all without writing boilerplate GraphQL queries themselves. The server’s primary goal is to lower the cognitive load for developers who need rapid access to commerce data while keeping the safety and reliability of typed GraphQL interactions.

At its core, the server offers two main capabilities. First, the tool lets an AI agent retrieve and search the full GraphQL schema that Adobe Commerce exposes to administrators. This is invaluable for developers who are unfamiliar with the API or need quick confirmation of field names, types, and relationships. Second, the prompt guides an assistant in constructing well‑formed GraphQL operations—queries, mutations, or subscriptions—by leveraging the schema information. Together these tools enable a conversational workflow where a developer can ask, “Show me all products with inventory below ten,” and the AI will generate the appropriate GraphQL query, execute it against Adobe Commerce, and return results in a readable format.

The server’s value shines in real‑world scenarios such as automated inventory alerts, dynamic storefront content generation, or rapid prototyping of new commerce features. A product manager can describe a desired report in natural language, and the AI will translate that into GraphQL, execute it, and present a summary—all within the same chat. For developers, this reduces time spent hunting through documentation or writing repetitive query scaffolding, allowing them to focus on business logic and user experience.

Integration with AI workflows is seamless: the MCP server can be invoked from any client that supports the protocol, including popular tools like Cursor or Claude Desktop. Because it is distributed as an NPM package, developers can spin up the server with a single command—no local hosting or infrastructure setup is required. The server can also be run locally for testing, making it easy to iterate on custom extensions or new tools.

Unique advantages of the Adobe Commerce Dev MCP Server include its tight coupling to the official GraphQL schema, ensuring that generated queries are always valid and up‑to‑date with platform changes. Additionally, the introspection tool provides a dynamic discovery layer that eliminates the need for static schema files or manual updates. Together, these features give developers a reliable, AI‑powered interface to Adobe Commerce that accelerates development cycles and empowers non‑technical stakeholders to engage directly with commerce data.