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AutotaskMCP

БесплатноНе проверен

Enables interaction with Autotask REST API for ticket management and querying through natural language.

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Описание

Enables interaction with Autotask REST API for ticket management and querying through natural language.

README

MCP Server built with the MCP Builder [https://mcpbuilder.leniolabs.com] using the Streamable HTTP transport over ExpressJS.

Description

This MCP (Model Context Protocol) server provides tools for interacting with Autotask REST API services. It uses Express.js with Streamable HTTP transport to handle MCP requests.

Features

  • Streamable HTTP transport for MCP protocol
  • Express.js server for handling HTTP requests
  • Multiple Autotask API tools for ticket management and querying
  • Session management with proper cleanup

Prerequisites

  • Node.js 20 or higher
  • npm or yarn

Installation

npm install

Development

npm run dev

This will start the server in watch mode using tsx.

Building

npm run build

This compiles TypeScript to JavaScript in the dist/ directory.

Running

npm start

The server will start on port 3000 by default.

Docker

Build the Docker image

docker build -t autotaskmcp:latest .

Run the container

docker run -p 3000:3000 autotaskmcp:latest

Using Docker Compose

docker-compose up -d

Environment Variables

  • PORT - Port number for the server (default: 3000)
  • NODE_ENV - Node environment (default: production in Docker)

API Endpoints

  • POST /mcp - Handle MCP requests (initialization and subsequent requests)
  • GET /mcp - SSE stream for MCP responses
  • DELETE /mcp - Terminate MCP session

Configuration

Autotask API Credentials

The server requires Autotask API credentials to be configured. These can be set via environment variables:

  • AUTOTASK_API_INTEGRATION_CODE - Your Autotask API Integration Code
  • AUTOTASK_USER_NAME - Your Autotask API Username
  • AUTOTASK_SECRET - Your Autotask API Secret
  • AUTOTASK_IMPERSONATION_RESOURCE_ID - Your Autotask Impersonation Resource ID

These can be set:

  • As environment variables at runtime (recommended)
  • As build arguments during Docker build (baked into image)

Deployment

Deploying to Northflank

  1. Build Context: Set to . (the root directory where the Dockerfile is located)

  2. Port: Expose port 3000 to the internet

  3. Environment Variables: Set the following environment variables in Northflank:

    • AUTOTASK_API_INTEGRATION_CODE - Your Autotask API Integration Code
    • AUTOTASK_USER_NAME - Your Autotask API Username
    • AUTOTASK_SECRET - Your Autotask API Secret
    • AUTOTASK_IMPERSONATION_RESOURCE_ID - Your Autotask Impersonation Resource ID
    • PORT (optional) - Server port, defaults to 3000
    • NODE_ENV (optional) - Set to production
  4. Build Arguments (Optional - if you want to hardcode credentials into the image):

    • AUTOTASK_API_INTEGRATION_CODE
    • AUTOTASK_USER_NAME
    • AUTOTASK_SECRET
    • AUTOTASK_IMPERSONATION_RESOURCE_ID

    Note: If using build arguments, the credentials will be baked into the Docker image. If using environment variables, they can be changed without rebuilding.

Publishing

Publishing to GitHub

  1. Initialize Git repository (if not already done):

    git init
    git add .
    git commit -m "Initial commit"
    
  2. Create a GitHub repository and push:

    git remote add origin https://github.com/YOUR_USERNAME/autotaskmcp.git
    git branch -M main
    git push -u origin main
    

Publishing Docker Images (Optional)

Note: If you're deploying to Northflank or similar platforms that build from source, you don't need to publish images to a registry. The platform will build directly from your Dockerfile.

Option 1: GitHub Container Registry (Default - Automated)

The repository includes GitHub Actions workflows that automatically build and push to GitHub Container Registry (ghcr.io):

  1. Push to main/master branch:

    • The CI workflow automatically builds and pushes on every push
    • Images are published to: ghcr.io/YOUR_USERNAME/autotaskmcp:latest
    • No additional setup required (uses GitHub token automatically)
  2. Create a release:

    • Create a GitHub release to trigger versioned tags
    • The docker-publish.yml workflow handles release builds

Option 2: Manual Build and Push to GitHub Container Registry

  1. Build the Docker image:

    docker build -t ghcr.io/YOUR_USERNAME/autotaskmcp:latest .
    
  2. Login to GitHub Container Registry:

    echo $GITHUB_TOKEN | docker login ghcr.io -u YOUR_USERNAME --password-stdin
    
  3. Push the image:

    docker push ghcr.io/YOUR_USERNAME/autotaskmcp:latest
    

Option 3: Docker Hub (Optional - Manual Setup Required)

If you prefer Docker Hub, you can manually build and push:

  1. Build the Docker image:

    docker build -t YOUR_DOCKERHUB_USERNAME/autotaskmcp:latest .
    
  2. Login to Docker Hub:

    docker login
    
  3. Push the image:

    docker push YOUR_DOCKERHUB_USERNAME/autotaskmcp:latest
    

Note: The GitHub Actions workflows use GitHub Container Registry by default. To use Docker Hub with GitHub Actions, you would need to:

  • Add DOCKER_USERNAME and DOCKER_PASSWORD secrets to your repository
  • Modify the workflows to use Docker Hub instead of GHCR

License

MIT

Author

MCP Builder https://mcpbuilder.leniolabs.com

from github.com/JagminasJ/AutoTaskMCP

Установка AutotaskMCP

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/JagminasJ/AutoTaskMCP

FAQ

AutotaskMCP MCP бесплатный?

Да, AutotaskMCP MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для AutotaskMCP?

Нет, AutotaskMCP работает без API-ключей и переменных окружения.

AutotaskMCP — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить AutotaskMCP в Claude Desktop, Claude Code или Cursor?

Открой AutotaskMCP на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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