by YanxingLiu · MCP Server · ★ 274
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Model Context Protocol (MCP) Server for dify workflows A simple implementation of an MCP server for using dify. It achieves the invocation of the Dify workflow by calling the tools of MCP. 📰 News [2025/4/15] zNow supports directly using environment variables to pass and , making it more convenient to use with cloud-hosted platforms. 🔨Installation The server can be installed via Smithery or manually. Step1: prepare config.yaml or enviroments You can configure the server using either environment variables or a file. Method 1: Using Environment Variables (Recommended for Cloud Platforms) Set the following environment variables: : The base URL for your Dify API. : A comma-separated list of your Dify App Secret Keys (SKs). Each SK typically corresponds to a different Dify workflow you want to make available via MCP. Method 2: Using Create a file to store your Dify base URL and App SKs. Example : : The base URL for your Dify API.
| Stars | 274 |
| Forks | 37 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 65.6918449239429/100 |
| Open Issues | 2 |
| Last Updated | 2025-04-20 |
| Created | 2024-12-25 |
| Platforms | mcp, python |
| Est. Tokens | ~3k |
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dify-mcp-server is Model Context Protocol (MCP) Server for dify workflows. It is categorized as a MCP Server with 274 GitHub stars.
dify-mcp-server is primarily written in Python.
You can find installation instructions and usage details in the dify-mcp-server GitHub repository at github.com/YanxingLiu/dify-mcp-server. The project has 274 stars and 37 forks, indicating an active community.