Cupcake
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Demonstrates a Model Context Protocol (MCP) server for ChatGPT, enabling content discovery and retrieval via `search` and `fetch` tools.
About
Explore a practical example of a Model Context Protocol (MCP) server designed for integration with ChatGPT and deployment on Wasmer Edge. This demonstration showcases how to build an MCP server that allows ChatGPT to interact with structured data, specifically cupcake orders stored in a local JSON file. It exposes two essential tools: `search` for keyword-based content discovery and `fetch` for retrieving detailed information about specific items, all communicating efficiently via Server-Sent Events (SSE).
Key Features
- 0 GitHub stars
- Utilizes Pydantic for structured data responses
- Communicates with clients via Server-Sent Events (SSE)
- Designed for seamless deployment on Wasmer Edge
- Implements `search` tool for keyword-based content discovery
- Provides `fetch` tool for retrieving detailed records by ID
Use Cases
- Developing custom connectors for ChatGPT
- Experimenting with Wasmer Edge for API deployment
- Building data-driven MCP servers
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