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Dify MCP Server

Dify MCP Server

Public
teddylee777/dify-mcp-server

Enables seamless invocation of Dify workflows via Model Context Protocol by integrating MCP tools for efficient AI model orchestration and automation.

python
0 tools
May 29, 2025
Updated Jun 4, 2025

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MCP Server

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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.

🔨Installation

The server can be installed via Smithery or manually. Config.yaml is required for both methods. Thus, we need to prepare it before installation.

Prepare config.yaml

Before using the mcp server, you should prepare a config.yaml to save your dify_base_url and dify_sks. The example config like this:

dify_base_url: "https://cloud.dify.ai/v1" dify_app_sks: - "app-sk1" - "app-sk2"

Different SKs correspond to different dify workflows.

Installing via Smithery

smithery is a tool to install the dify mcp server automatically. To install Dify MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install dify-mcp-server --client claude

Manual Installation

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" } } }

Example config:

"mcpServers": { "mcp-server-rag-web-browser": { "command": "uv", "args": [ "--directory", "/Users/lyx/Downloads/dify-mcp-server", "run", "dify_mcp_server" ], "env": { "CONFIG_PATH": "/Users/lyx/Downloads/config.yaml" } } }

Enjoy it

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

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