This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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: Internal Data 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
This server cannot be deployed
Manage projects, tasks, time tracking, and team collaboration through natural language.
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See your team's status, delegate work, follow progress, and approve requests from your AI client.
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