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@zubeidhendricks/huly-mcp-server

v0.1.0

Published

Model Context Protocol server for Huly

Readme

Huly MCP Server

This is a Model Context Protocol (MCP) server for Huly project and document management platform, allowing AI assistants to interact with Huly through Activepieces.

What is MCP?

Model Context Protocol (MCP) allows AI assistants to access external tools through a standardized interface. This server implements the MCP specification for Huly's WebSocket APIs.

Features

This MCP server provides access to the following Huly functionalities:

Search Actions

  • Find Person: Fetch a list of people and their communication channels (e.g., email)
  • Find Project: Retrieve a project by identifier and access its basic info
  • Find Issue: List issues in a project sorted by last modified date
  • Find Document: List documents in a teamspace by name

Write Actions

  • Create Person: Create a new person record and attach an email address as a communication channel
  • Create Issue: Create a new issue under a project with title, description, priority, and due date
  • Create Milestone: Create a new milestone inside a project and assign open issues to it
  • Create Document: Create a document with Markdown content inside a teamspace

Installation

# Clone the repository
git clone https://github.com/username/huly-mcp-server

# Navigate to the project directory
cd huly-mcp-server

# Install dependencies
npm install

# Build the project
npm run build

Usage

Configuration

The server can be configured using environment variables:

  • PORT: The port number to run the server on (default: 3000)
  • HULY_WS_URL: The WebSocket URL for the Huly API (default: wss://api.huly.io)

Running the Server

# Development mode
npm run dev

# Production mode
npm run build
npm start

Endpoints

  • Health Check: GET /health
  • MCP Endpoint: POST /mcp - Main endpoint for MCP requests
  • Manifest: GET /manifest - MCP API manifest with function descriptions

MCP Integration with Activepieces

To use this MCP server with Activepieces:

  1. Deploy this server to a publicly accessible URL
  2. Configure the MCP URL in Activepieces to point to your deployed server
  3. Use the Huly functions in your AI workflows

Development

Project Structure

src/
├── api/               # Huly API integration
│   ├── hulyApi.ts     # API function implementations
│   └── hulyWebSocket.ts # WebSocket client for Huly
├── mcp/               # MCP server implementation
│   ├── handlers.ts    # MCP request handlers
│   └── server.ts      # Express server setup
├── types/             # TypeScript type definitions
│   └── index.ts       # Type definitions
└── index.ts           # Application entry point

Testing

# Run tests
npm test

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.