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OrgFlow MCP

An organizational data management system built with Model Context Protocol (MCP) that helps manage and process organizational data including employees, teams, projects, and assets.

Features

  • Employee management

  • Team and project tracking

  • Asset management

  • Performance monitoring

  • Business strategy tracking

  • Vendor management

  • Training and development tracking

Setup

  1. Clone the repository:

git clone https://github.com/yourusername/orgflow-mcp.git cd orgflow-mcp
  1. Install dependencies:

npm install
  1. Set up environment variables:

  • Copy .env.example to .env

  • Fill in your Gemini API key and other configuration values

cp .env.example .env
  1. Start the server:

npm start

Environment Variables

Create 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)

Project Structure

orgflow-mcp/ ├── data/ # JSON data files ├── src/ │ ├── client/ # Client-side implementation │ └── server/ # Server-side implementation ├── package.json └── tsconfig.json

License

MIT

Contributing

  1. Fork the repository

  2. Create your feature branch

  3. Commit your changes

  4. Push to the branch

  5. Create a new Pull Request

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security - not tested
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MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sujalpat1810/Orgflow_MCP'

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