AutotaskMCP
Click on "Install 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., "@AutotaskMCPshow my open tickets"
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.
AutotaskMCP Server
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.
Related MCP server: Autotask MCP Server
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 installDevelopment
npm run devThis will start the server in watch mode using tsx.
Building
npm run buildThis compiles TypeScript to JavaScript in the dist/ directory.
Running
npm startThe 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:latestUsing Docker Compose
docker-compose up -dEnvironment 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 responsesDELETE /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 CodeAUTOTASK_USER_NAME- Your Autotask API UsernameAUTOTASK_SECRET- Your Autotask API SecretAUTOTASK_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
Build Context: Set to
.(the root directory where the Dockerfile is located)Port: Expose port
3000to the internetEnvironment Variables: Set the following environment variables in Northflank:
AUTOTASK_API_INTEGRATION_CODE- Your Autotask API Integration CodeAUTOTASK_USER_NAME- Your Autotask API UsernameAUTOTASK_SECRET- Your Autotask API SecretAUTOTASK_IMPERSONATION_RESOURCE_ID- Your Autotask Impersonation Resource IDPORT(optional) - Server port, defaults to 3000NODE_ENV(optional) - Set toproduction
Build Arguments (Optional - if you want to hardcode credentials into the image):
AUTOTASK_API_INTEGRATION_CODEAUTOTASK_USER_NAMEAUTOTASK_SECRETAUTOTASK_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
Initialize Git repository (if not already done):
git init git add . git commit -m "Initial commit"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):
Push to main/master branch:
The CI workflow automatically builds and pushes on every push
Images are published to:
ghcr.io/YOUR_USERNAME/autotaskmcp:latestNo additional setup required (uses GitHub token automatically)
Create a release:
Create a GitHub release to trigger versioned tags
The
docker-publish.ymlworkflow handles release builds
Option 2: Manual Build and Push to GitHub Container Registry
Build the Docker image:
docker build -t ghcr.io/YOUR_USERNAME/autotaskmcp:latest .Login to GitHub Container Registry:
echo $GITHUB_TOKEN | docker login ghcr.io -u YOUR_USERNAME --password-stdinPush 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:
Build the Docker image:
docker build -t YOUR_DOCKERHUB_USERNAME/autotaskmcp:latest .Login to Docker Hub:
docker loginPush 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_USERNAMEandDOCKER_PASSWORDsecrets to your repositoryModify the workflows to use Docker Hub instead of GHCR
License
MIT
Author
MCP Builder https://mcpbuilder.leniolabs.com
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/JagminasJ/AutoTaskMCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server