Workflow MCP Server

by tuanknguyen

1 stars

334 downloads

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Description

# Workflow MCP Server A Python MCP server that guides agents through structured workflows. This server ensures agents follow predefined steps while maintaining flexibility in execution. ## Development Approach ### Package Management with UV This project exclusively uses…

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Details

Author: tuanknguyen
GitHub stars: 1
Downloads: 334
Categories: Other

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 Workflow MCP Server

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": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

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": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

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": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

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": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

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": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

From the repository

Install using uv: create a virtual environment, activate it, and

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "workflow mcp server": {
            "workflow-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "workflow-mcp-server": {
        "command": "uv",
        "args": [
            "venv"
        ]
    }
}

Workflow MCP Server

A Python MCP server that guides agents through structured workflows. This server ensures agents follow predefined steps while maintaining flexibility in execution.

Development Approach

Package Management with UV

This project exclusively uses uv for all package management operations. Always use uv commands for:

- Virtual environment creation: uv venv
- Package installation: uv pip install
- Running Python scripts: uv run python script.py
- Running tests: uv run pytest
- Running the application: uv run workflow-mcp

UV provides faster, more reliable package management than traditional tools. If you don't have uv installed, follow instructions at https://github.com/astral-sh/uv

Installation

Setting up the environment

```bash

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Description

About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Workflow MCP Server

Development Approach

Package Management with UV

Installation

Setting up the environment

Install

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