An overview of the MCP servers commercetools provides to facilitate AI-driven commerce applications.
The Model Context Protocol (MCP) enables AI agents to understand and interact with your commercetools APIs through a unified interface.
commercetools provides two MCP servers for different purposes: Commerce MCP and Knowledge MCP.
| Variant | Description |
|---|---|
| Commerce MCP | Provides AI agents with direct access to resources such as Carts and Orders. It requires API access to a Project. |
| Knowledge MCP | Makes documentation and APIs accessible to IDEs, automation tools, and AI assistants. It can be used without access to a Project. |
Commerce MCP
Commerce MCP is currently under development and may be subject to changes.
Commerce MCP offers the following benefits:
- Composability: Pluggable, discoverable, and modular components.
- Interoperability: Complements other protocols, such as Agent-to-Agent (A2A).
- Security: Enforces scoped access with built-in safeguards for commerce operations.
Commerce MCP is an AI agent interface for managing resources in your Project.
- Extensive set of tools for commerce operations.
- Deployable in desktop AI applications or autonomous agents.
- Uses API client credentials to act securely on behalf of users.
Commerce MCP enables SaaS applications that are prebuilt with commerce capabilities, supporting AI-powered assistants and autonomous commerce agents.
Knowledge MCP
Knowledge MCP exposes developer documentation and API specifications to IDEs, AI agents, and automation tools. It is completely free to use.
- Public REST APIs for:
- Semantic documentation search
- GraphQL schema and OpenAPI Specification (OAS) access
- Development prompts and contextual help
- GraphQL query and mutation validation against the commercetools schema
- commercetools-specific conventions and best practices via the
commercetools-developer-tipsprompt
- Direct integration with:
- Cursor
- GitHub Copilot
- Visual Studio Code
- JetBrains IDEs
- Windsurf
- Custom-built agents
Knowledge MCP reduces developer ramp-up time, accelerates delivery, and supports AI-assisted development workflows.