A server implementation of the Model Context Protocol that enables calling iFlytek workflows, supporting complex orchestration modes like sequential, parallel, and looped execution across 14 node types for diverse business scenarios.
A server implementation that enables integration of Dify workflows with Model Context Protocol (MCP), allowing users to access Dify's capabilities through MCP-compatible clients.
A Model Context Protocol server that exposes AI workflow templates as callable tools, enabling MCP clients to list templates, inspect their input/output schemas, and execute them synchronously or asynchronously to get structured results.
An MCP protocol server that supports multi-AI personality summoning and collaboration, which can be used for intelligent collaboration in multiple scenarios such as code analysis and product design.
A Model Context Protocol server that allows AI agents to interact with Apache DolphinScheduler through a standardized protocol, enabling AI-driven workflow management.
