Mock Store FAQs

Question 1

What is Mock Store?

Accepted Answer

Mock Store is a robust development tool that exposes comprehensive mock e-commerce store data as Model Context Protocol (MCP) tools. It enables conversational AI agents to interact with and explore realistic store information like customers, products, and orders.

Question 2

How does Mock Store provide e-commerce data?

Accepted Answer

It utilizes a `fastMCP` server to expose detailed store data as tools, alongside a consistent REST API powered by FastAPI. Both interfaces share the same PostgreSQL database, ensuring data integrity for AI agents and traditional applications.

Question 3

What kind of e-commerce data can AI agents access?

Accepted Answer

AI agents can query a wide range of data, including customer details, available products, current inventory levels, and comprehensive order information with nested line items. Specific tools are provided for listing and retrieving these entities.

Question 4

Which AI clients are compatible with Mock Store?

Accepted Answer

Mock Store is designed for seamless integration with popular MCP-compatible AI clients such as Anthropic Claude Desktop, Cursor IDE, VS Code with the Continue extension, and OpenAI Desktop/ChatGPT Desktop (with beta MCP support).

Question 5

Is it difficult to set up Mock Store locally?

Accepted Answer

No, setup is straightforward. The project uses Docker Compose for an isolated PostgreSQL database with preloaded data, and standard Python for the FastAPI backend and `fastMCP` server. Detailed instructions are provided for quick deployment.

Mock Store

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