Applications in the Cequence AI Gateway

MCP applications are modular software components that expose specific functionalities to AI models. MCP applications act as a bridge between the standardized MCP interface and various external systems, databases, APIs, and services. Each application handles particular domains or use cases, providing AI models with the ability to read data, execute actions, and interact with specialized tools that would otherwise be inaccessible.

MCP applications follow a client-server architecture where the AI model (or its host system) acts as the MCP client, and the applications serve as MCP servers. This design ensures that AI models can access external capabilities while maintaining security boundaries and proper authorization controls.

MCP applications enable AI models to perform real-time data retrieval from databases, file systems, and web APIs. The protocol facilitates automation workflows where AI models can execute actions on behalf of users, such as updating records, sending notifications, or triggering business processes.

AI models can leverage domain-specific applications for tasks like code analysis, data visualization, content management, or security monitoring. This extensibility ensures that AI capabilities can grow and adapt to specific organizational needs without requiring changes to the core model.

MCP applications also enable secure access to sensitive resources. By implementing proper authentication and authorization mechanisms within the application layer, organizations can provide AI models with controlled access to internal systems while maintaining security and compliance requirements.