Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@OrgFlow MCP show me the current project status for the marketing team"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An organizational data management system built with Model Context Protocol (MCP) that helps manage and process organizational data including employees, teams, projects, and assets.
Employee management
Team and project tracking
Asset management
Performance monitoring
Business strategy tracking
Vendor management
Training and development tracking
Related MCP server: Orchestrator MCP Server
Clone the repository:
git clone https://github.com/yourusername/orgflow-mcp.git
cd orgflow-mcpInstall dependencies:
npm installSet up environment variables:
Copy .env.example to .env
Fill in your Gemini API key and other configuration values
cp .env.example .envStart the server:
npm startCreate a .env file in the root directory with the following variables:
GEMINI_API_KEY: Your Gemini API key
PORT: Server port (default: 3000)
NODE_ENV: Environment (development/production)
orgflow-mcp/
├── data/ # JSON data files
├── src/
│ ├── client/ # Client-side implementation
│ └── server/ # Server-side implementation
├── package.json
└── tsconfig.jsonMIT
Fork the repository
Create your feature branch
Commit your changes
Push to the branch
Create a new Pull Request
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