dify-workflow-mcp

A Model Context Protocol (MCP) server that exposes Dify workflows as tools for AI systems, enabling dynamic tool discovery and execution across multiple Dify AI applications.

• Source: GitHub Repository
• Category: mcp-middleware-orchestration
• Tags: mcp, dify, workflow, tool-discovery, ai-integration

Features

• Implements a Model Context Protocol (MCP) server in TypeScript.
• Exposes Dify workflows as tools for use by AI systems.
• Enables dynamic discovery and execution of tools (workflows) across multiple Dify AI applications.
• Server configuration via YAML file (default config.yaml in project root, or specify path via CONFIG_PATH environment variable).
• Includes scripts for building and starting the server, as well as development environment setup.
• Example and instructions for cloning the repository, installing dependencies, and configuring the server.

Installation & Usage

• Clone the repository.
• Install dependencies with npm or yarn.
• Create and edit the configuration YAML file.
• Build and start the server.
• Environment variable CONFIG_PATH can be used to specify custom configuration location.

Configuration

• Server is configured via a YAML file.
• Default config file is config.yaml in the project root.
• Can be customized for different environments or deployments.

Licensing

• Licensed under ISC.

Pricing

• No pricing information is provided; this appears to be an open-source project.