sample-deep-research-mcp
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Cupcake MCP for Deep Research is a minimal example of a Model Context Protocol (MCP) server designed for searching and fetching cupcake orders.
Cupcake MCP for Deep Research is a specialized server application that leverages the Model Context Protocol (MCP) to facilitate efficient searching and retrieval of cupcake order data. This server is built using Python and is designed to run on a local server environment, providing a simple yet effective solution for managing cupcake orders. The server utilizes Server-Sent Events (SSE) for real-time data transport, ensuring that users receive timely updates on their queries. The application is structured to be lightweight and easy to set up, making it an ideal choice for developers and researchers looking to explore MCP technology in a practical context. The server reads from a JSON file containing cupcake order records, allowing users to perform searches and fetch specific order details. This setup is particularly useful for deep research scenarios where quick access to structured data is crucial. By providing a straightforward interface and leveraging modern web technologies, Cupcake MCP for Deep Research serves as a foundational tool for those interested in the intersection of MCP and data retrieval systems.
Features
- Lightweight and easy to set up server application
- Utilizes Server-Sent Events (SSE) for real-time data transport
- Facilitates efficient searching and retrieval of cupcake order data
- Built with Python, ensuring wide compatibility and ease of use
- Reads from a JSON file, allowing for structured data management