dify-mcp-client

by 3dify-project

169 758 downloads Not rated yet Apache-2.0

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About

MCP Client as an Agent Strategy Plugin. Support GUI operation via UI-TARS-SDK.

Details

License: Apache-2.0

Explore

- On-demand GUI automation: UI-TARS is called only when needed, reducing token consumption
- Life-time control: Set maximum loop count per task to prevent runaway automation

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name dify-mcp-client

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

From the repository

MCP Agent Plugin node require config_json like this to command or URL to connect MCP servers

{

    "mcpServers":{

        "name_of_server1":{

            "url": "http://host.docker.internal:8080/sse"

        },

        "name_of_server2":{

            "url": "http://host.docker.internal:8008/mcp"

        }

    }

}

> [!WARNING]
> - Each server's port number should be different, like 8080, 8008, ...
> - If you want to use stdio mcp server, there are 3 ways.
> 1. Convert it to Streamable HTTP mcp server using mcp-proxy https://github.com/sparfenyuk/mcp-proxy?tab=readme-ov-file#1-stdio-to-ssestreamablehttp
> 2. Deploy with source code (NOT by .difypkg or GitHub reposity name install) https://github.com/3dify-project/dify-mcp-client/edit/main/README.md#-how-to-develop-and-deploy-plugin
> 3. Pre-install Node.js inside dify-plugin docker (Only TypeScript stdio server)

Without Node.js in container, you lose TypeScript stdio MCP support. </details> For detailed UI-TARS setup, refer to the UI-TARS Desktop deployment guide. The plugin automatically configures UI-TARS as a tool within the ReAct loop. You need to provide: - Hugging Face Inference Endpoint URL - API Key like (hf_xxxxx) - (Optional) Adjust ui_tars_max_life_time_count in agent parameters

- Enter the following GitHub repository name

https://github.com/3dify-project/dify-mcp-client/

- Dify > PLUGINS > + Install plugin > INSTALL FROM > GitHub - Go to Releases https://github.com/3dify-project/dify-mcp-client/releases - Select suitable version of .difypkg - Dify > PLUGINS > + Install plugin > INSTALL FROM > Local Package File

Issue: If you encounter the error message: plugin verification has been enabled, and the plugin you want to install has a bad signature, how to handle the issue? <br> Solution: Open /docker/.env and change from true to false:

FORCE_VERIFYING_SIGNATURE=false

Run the following commands to restart the Dify service:

bash
cd docker
docker compose down
docker compose up -d

Once this field is added, the Dify platform will allow the installation of all plugins that are not listed (and thus not verified) in the Dify Marketplace.

(Mac/Linux)

which npx

(Windows)

where npx

result

C:\Program Files\nodejs\npx
C:\Program Files\nodejs\npx.cmd
C:\Users\USER_NAME\AppData\Roaming\npm\npx
C:\Users\USER_NAME\AppData\Roaming\npm\npx.cmd



If claude_desktop_config.json is following schema,

{
"mcpServers": {
"SERVER_NAME": {
"command": CMD_NAME_OR_PATH
"args": {VALUE1, VALUE2}
}
}
}



Python3.12+ is compatible. The venv and uv are not necessary, but recommended.

uv venv -p 3.12
.venv\Scripts\activate



Install python modules for plugin development

uv pip install -r requirements.txt



For only UI-TARS-SDK user (after installing Node.js v22 LTS)

npm install
```

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "dify-mcp-client": {
            "dify-mcp-client": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dify-mcp-client:latest",
                    "."
                ]
            }
        }
    }
}

McpServers

{
    "dify-mcp-client": {
        "command": "docker",
        "args": [
            "build",
            "-t",
            "dify-mcp-client:latest",
            "."
        ]
    }
}

MCP Client as Agent Strategy Plugin with Computer Using Agent (UI-TARS-SDK) support. > [!IMPORTANT] > Dify is not MCP Server but MCP Host.

showcase1

How it works

Each MCP client (ReAct Agent) node can connect MCP servers. 1. Tool, Resource, Prompt lists are converted into Dify Tools. 2. Your selected LLM can see their name, description, argument type 3. The LLM calls Tools based on the ReAct loop (Reason → Act → Observe).

> [!NOTE]
> Most of the code in this repository contains the following files.
> #### Dify Official Plugins / Agent Strategies
> https://github.com/langgenius/dify-official-plugins/tree/main/agent-strategies/cot_agent

✅ What I did

- Copied ReAct.py and renamed file as mcpReAct.py - Added config_json GUI input field by editing mcpReAct.yaml and class mcpReActParams()

in mcpReAct.py, I added

- New 12 functions for MCP - __init__() for initializing AsyncExitStack and event loop - Some codes in _handle_invoke_action() for MCP - MCP setup and cleanup in _invoke()

> [!IMPORTANT]
> ReAct while loop is as they are

🔄 Update history

- Add SSE MCP client (v0.0.2) - Support multi SSE servers (v0.0.3) - Update python module and simplify its dependency (v0.0.4) - mcp(v1.1.2→v1.6.0+) - dify_plugin(0.0.1b72→v0.1.0) - Add UI-TARS SDK integration for GUI automation capabilities (v0.0.5) - Support Streamable HTTP MCP client - Feat SSE param: /sse?key=value (v0.0.6)

🤖 UI-TARS Integration

This plugin includes UI-TARS SDK integration for GUI automation capabilities.

> [!WARNING]
> UI-TARS-SDK integration is supported only Dify Plugin's local debug deployment.
> https://github.com/3dify-project/dify-mcp-client#-how-to-develop-and-deploy-plugin
>
> Normal difypkg install doesn't work. Because UI-TARS require OS native API, yet Dify plugin env is Linux docker container.
>
> I'm thinking alternative solusion via Streamable HTTP MCP.

Key Features

- On-demand GUI automation: UI-TARS is called only when needed, reducing token consumption
- Life-time control: Set maximum loop count per task to prevent runaway automation

Known Limitations

- Single Monitor Support: UI-TARS currently recognizes the primary monitor only. Multi-monitor setups are not supported. - Mac Retina Display Issue: On macOS with Retina displays, UI-TARS requires the display resolution to be set to "Default" instead of the highest quality setting. Otherwise wrong (w,h) point is clicked. https://github.com/bytedance/UI-TARS-desktop/issues/591

Life-time Parameter

The life_time parameter controls the maximum number of GUI actions UI-TARS can perform: - Default: 10 iterations - User-configurable maximum via ui_tars_max_life_time_count - Your selected LLM can dynamically adjust within the user-defined limit based on task complexity

> [!NOTE]
> Currently hardcoded to use UI-TARS-1.5-7B model for optimal cost-performance balance.

🐳 Docker Deployment with Pre-built Node.js

Building the Docker Image

<details> <summary> This pulldown guide is for TypeScript stdio MCP server user</summary>

docker build -t dify-mcp-client:latest .

Or use our pre-built image:
```yaml

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dify-mcp-client

About

Details

Explore

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

How it works

✅ What I did

in mcpReAct.py, I added

🔄 Update history

🤖 UI-TARS Integration

Key Features

Known Limitations

Life-time Parameter

🐳 Docker Deployment with Pre-built Node.js

Building the Docker Image

Videos about dify-mcp-client

MCP Servers Explained in 5 Minutes (for beginners)

About

Details

Explore

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

How it works

✅ What I did

in mcpReAct.py, I added

🔄 Update history

🤖 UI-TARS Integration

Key Features

Known Limitations

Life-time Parameter

🐳 Docker Deployment with Pre-built Node.js

Building the Docker Image

Videos about dify-mcp-client

MCP Servers Explained in 5 Minutes (for beginners)

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