关于
Leverage iFlytek's AI agent platform to rapidly build workflows with the Model Context Protocol (MCP). This server implementation allows seamless integration of iFlytek workflows into applications by providing a standardized framework to supply Large Language Models (LLMs) with the necessary contextual data. The system supports intelligent workflow scheduling for a variety of business cases, featuring robust node support, advanced orchestration modes (sequential, parallel, loop, and nested execution), multiple development paradigms, and multi-model support.
主要功能
- Utilizes Model of Models (MoM) hybrid application architecture for flexible model combinations.
- Offers advanced orchestration modes: sequential, parallel, loop, and nested execution.
- 4 GitHub stars
- Supports 14 types of workflow nodes, including basic, tool, logic, and transformation types.
- Supports complex variable I/O for flexible data transmission.
- Enables streaming output with a Hook Mechanism for real-time processing.
使用案例
- Building complex processes with branching logic via multi-branch support.
- Creating dynamic conversations using multi-turn interaction with context memory.
- Automating repetitive tasks through loop execution.