This Dify Workflow MCP server, developed by an unnamed creator, integrates with the Dify API to enable AI-driven workflow execution. Built with Go and leveraging the MCP-Go library, it provides tools for listing authorized workflows and executing specified workflows with custom inputs. The server implements environment-based configuration, allowing for flexible API key and workflow name management. By abstracting the complexities of Dify API interactions, it enables AI systems to easily trigger and manage complex workflows. This implementation is particularly valuable for applications requiring programmatic access to Dify workflows, facilitating use cases such as automated task execution, multi-step data processing, and AI-driven decision making across various domains.
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Highlight AIList authorized workflows.
Execute a specified workflow. Parameters: workflow_name (string), input (string). Note: The input variable name of the dify workflow should be defined by default as 'message'.
