petclinic-mcp
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The Petclinic MCP server is designed to interact with the Swagger Petstore API, providing a bridge for AI models to access pet-related data and functionalities.
The Petclinic MCP server is a specialized server that leverages the Swagger Petstore API to offer a set of capabilities for AI models, particularly those developed by OpenAI. This server acts as an intermediary, allowing AI models to fetch and manipulate pet data without the need for direct API integration. By using the Model Context Protocol (MCP), the server standardizes the way AI models interact with external data sources, making it easier to integrate and extend functionalities. The server is built using Python and requires the uv package manager for setup. It can be run locally or deployed to cloud platforms like Cloud Foundry, offering flexibility in deployment and usage. The server is particularly useful for applications that require dynamic interaction with pet data, such as chatbots or virtual assistants in the pet care industry.
Features
- Fetch pets by status: Allows retrieval of pets based on their status (available, pending, sold).
- Local and cloud deployment: Can be run locally using stdio transport or deployed to Cloud Foundry using sse transport.
- Integration with AI models: Provides a standardized interface for AI models to interact with pet data.
- MCP inspector support: Can be launched with an MCP inspector for debugging and monitoring.
- Virtual environment setup: Utilizes Python virtual environments for dependency management.