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Dify Server

by YanxingLiu
GitHub
Python
189
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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 base_url and app_sks, 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 config.yaml file.

Set the following environment variables:

export DIFY_BASE_URL="https://cloud.dify.ai/v1" export DIFY_APP_SKS="app-sk1,app-sk2" # Comma-separated list of your Dify App SKs
  • 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: "https://cloud.dify.ai/v1" dify_app_sks: - "app-sk1" # SK for workflow 1 - "app-sk2" # SK for workflow 2 # Add more SKs as needed
  • 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):

# Create a directory if it doesn't exist mkdir -p ~/.config/dify-mcp-server # Create the config file cat > ~/.config/dify-mcp-server/config.yaml <<EOF dify_base_url: "https://cloud.dify.ai/v1" dify_app_sks: - "app-your-sk-1" - "app-your-sk-2" EOF echo "Configuration file created at ~/.config/dify-mcp-server/config.yaml"

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:

curl -Ls https://astral.sh/uv/install.sh | sh
{ "mcpServers": { "dify-mcp-server": { "command": "uvx", "args": [ "--from","git+https://github.com/YanxingLiu/dify-mcp-server","dify_mcp_server" ], "env": { "DIFY_BASE_URL": "https://cloud.dify.ai/v1", "DIFY_APP_SKS": "app-sk1,app-sk2", } } } }

or

{ "mcpServers": { "dify-mcp-server": { "command": "uvx", "args": [ "--from","git+https://github.com/YanxingLiu/dify-mcp-server","dify_mcp_server" ], "env": { "CONFIG_PATH": "/Users/lyx/Downloads/config.yaml" } } } }
✅ 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:

{ "mcpServers": { "mcp-server-rag-web-browser": { "command": "uv", "args": [ "--directory", "${DIFY_MCP_SERVER_PATH}", "run", "dify_mcp_server" ], "env": { "CONFIG_PATH": "$CONFIG_PATH" } } } }

or

{ "mcpServers": { "mcp-server-rag-web-browser": { "command": "uv", "args": [ "--directory", "${DIFY_MCP_SERVER_PATH}", "run", "dify_mcp_server" ], "env": { "CONFIG_PATH": "$CONFIG_PATH" } } } }

Example config:

{ "mcpServers": { "dify-mcp-server": { "command": "uv", "args": [ "--directory", "/Users/lyx/Downloads/dify-mcp-server", "run", "dify_mcp_server" ], "env": { "DIFY_BASE_URL": "https://cloud.dify.ai/v1", "DIFY_APP_SKS": "app-sk1,app-sk2", } } } }

Enjoy it

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

This server cannot be installed

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hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Server for using Dify. It achieves the invocation of the Dify workflow by calling the tools of MCP.

  1. 📰 News
    1. 🔨Installation
      1. Step1: prepare config.yaml or enviroments
      2. Step2: Installation on your client
      3. Enjoy it

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