personal-mcps

This capability allows users to define and call functions based on a schema that supports multiple providers. It utilizes a registry pattern to manage function definitions and dynamically resolves calls to the appropriate provider, enabling seamless integration with various APIs. The architecture is designed to facilitate easy addition of new providers without significant changes to the core logic, making it highly extensible.

This capability enables the server to maintain context across multiple interactions, allowing for personalized experiences. It employs a context management system that stores user-specific data and retrieves it as needed to inform responses. The architecture supports efficient context switching and retrieval, ensuring that interactions feel coherent and relevant to the user.

This capability allows users to dynamically integrate new models into the MCP server through a plug-in architecture. It uses a modular design that enables developers to create and deploy new model plug-ins without altering the core server functionality. This flexibility allows for rapid experimentation and adaptation to new AI models as they become available.