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Project management · MCP server

Autotask: MCP server, setup and security

Autotask is an open-source MCP server that lets an AI agent access Autotask companies, tickets, projects and time entry information. Its repository has 58 stars and its last commit is from October 21, 2026 and it is licensed under Apache-2.0.

Score
63/100
Adoption (stars) 18/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintainedNeeds secrets

What Autotask does

According to its repository: “MCP server for Kaseya Autotask PSA — companies, tickets, projects, time entries, and more.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Autotask is listed under Project management, a category of 16 servers in the directory, where it ranks #5 by stars.

Topics declared by the repository: ai-tools, autotask, claude, kaseya, msp, psa.

Installing and connecting Autotask

Distribution modes declared in the official MCP registry:

  • Docker (OCI) image

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.

The registry lists 2 secret variables to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for Autotask:

  • Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 10, 2025, the WYRE-AI/autotask-mcp repository has 58 stars and 68 forks, with 3 open issues. It has more stars than 54% of the servers in the directory. It received changes this month. Version published in the registry: 2.39.8 (October 21, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

KaneoKaneo : 9.6K9.6KMondaycom MCPMondaycom MCP : 435435MCP server 12306MCP server 12306 : 414414Attio MCP Server (kesslerio)Attio MCP Server (kesslerio) : 6969AutotaskAutotask : 5858Saga MCPSaga MCP : 4040Pm copilotPm copilot : 3030MCP server polarionMCP server polarion : 1717
GitHub stars of the most followed servers in the category (log scale); Autotask in orange. Checked October 25, 2026.

Verdict

Autotask is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (Apache-2.0)

Limitations

  • Requires an API key or token

Avoid if…

  • You do not want to give credentials to an agent

Frequently asked questions

How do I install Autotask?

Autotask is distributed as Docker (OCI) image. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of WYRE-AI/autotask-mcp.

Is Autotask free?

The code is published under the Apache-2.0 licence and can be used free of charge. It needs an API key: the service it connects to may be paid.

Is Autotask safe?

Points to watch: secrets. Give it minimum rights and approve sensitive actions.

Is it an official server?

Nothing says so: it is a project published by WYRE-AI on GitHub. Check who maintains it before giving it access.

What are the alternatives to Autotask?

In the same category: Kaneo, Mondaycom MCP, MCP server 12306, and Saga MCP. Kaneo and Mondaycom MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score