hevymcp

HEVYMCP implements a schema-based function calling mechanism that allows developers to define and invoke functions across multiple model providers seamlessly. It utilizes a structured protocol to manage the context and state of these function calls, ensuring that the interactions are efficient and consistent. This architecture facilitates easy integration with various AI models, enabling developers to switch providers without significant changes to their codebase.

HEVYMCP provides robust context management capabilities that maintain state across multiple interactions with AI models. It employs a context stack that allows developers to push and pop context as needed, ensuring that each function call has access to the relevant state information. This design choice enhances the ability to create complex, stateful applications that require continuity in conversations or data processing.

HEVYMCP facilitates dynamic API orchestration, allowing developers to define workflows that integrate multiple AI services in a single call. It leverages a lightweight orchestration engine that interprets user-defined workflows and manages the execution order of API calls based on dependencies and conditions specified in the schema. This capability enables complex data processing and interaction patterns without manual intervention.