seegene-bid-mcp

This capability enables the MCP server to call functions defined in a schema format, allowing seamless integration with multiple AI model providers. It utilizes a registry pattern to manage function definitions and their associated parameters, which facilitates dynamic invocation of APIs from various sources like OpenAI and Anthropic, ensuring flexibility and extensibility in model interactions.

This capability manages the context for each interaction with the AI models, ensuring that relevant information is preserved across function calls. It employs a context stack mechanism that allows the server to push and pop context as needed, facilitating coherent conversations and interactions with the models while minimizing context loss.

This capability allows the MCP server to orchestrate multiple API calls dynamically based on the defined schema and user inputs. It uses a workflow engine that evaluates the input data and determines the sequence of API calls required to fulfill a request, enabling complex interactions and data processing flows without hardcoding the logic.