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 base_url and app_sks, making it more convenient to use with cloud-hosted platforms.

Related MCP server: Dify as MCP Server

🔨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 config.yaml file.

Method 1: Using Environment Variables (Recommended for Cloud Platforms)

Set the following environment variables:

• DIFY_BASE_URL: The base URL for your Dify API.

• DIFY_APP_SKS: 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 config.yaml

Create a config.yaml file to store your Dify base URL and App SKs.

Example config.yaml:

• dify_base_url: The base URL for your Dify API.

• dify_app_sks: A list of your Dify App Secret Keys (SKs). Each SK typically corresponds to a different Dify workflow.

You can create this file quickly using the following command (adjust the path and values as needed):

When running the server (as shown in Step 2), you will need to provide the path to this config.yaml file via the CONFIG_PATH environment variable if you choose this method.

Step2: Installation on your client

❓ If you haven't installed uv or uvx yet, you can do it quickly with the following command:

✅ Method 1: Use uvx (no need to clone code, recommended)

or

✅ Method 2: Use uv (local clone + uv start)

You can also run the dify mcp server manually in your clients. The config of client should like the following format:

or

Example config:

Enjoy it

At last, you can use dify tools in any client who supports mcp.