Invite-only beta. We are onboarding select MSPs now. Contact Honey House (opens in a new tab) if you would like access.

Invite-only beta AI-ready

Manage and build automation with simple prompts

Need a custom sync between two MSP tools that don’t talk? Describe it to Cursor, Claude, or ChatGPT, save the script, schedule it, and let Super PowerShell run it. Fix failures the same way: one prompt, not five tabs. Wiring details are in the operator docs.

AI workflows

Ask. Build. Fix. Ship.

Develop new automation and manage what’s already running from the same chat. Your AI provider sees scripts, jobs, logs, and schedules through MCP.

Query job status

Ask your AI assistant what failed overnight, which scripts are red, or what a specific job returned. It can read status and logs so you do not have to click through history first.

Triage failures

Point AI at a failed run or an alert. It can summarize the error, compare against recent changes, and tell you where to start instead of staring at raw output.

Fix scripts

Tell it to patch the script that broke: update the logic, handle the edge case, save a new version. You review before it goes back on the schedule.

Test the fix

Have it re-run the job and confirm the output looks right. Fix, test, and verify without bouncing between five different tools.

Draft new automation

Describe the integration in plain English, get PowerShell back, save it to the library, and schedule it. Great for new APIs and one-off client workflows.

Bring your own AI

Cursor, Claude, ChatGPT, or whatever your team standardizes on. MCP and API hooks put the platform inside the assistant you already use.

Try it in Cursor, Claude, or ChatGPT

Example prompts

Connect the Super PowerShell MCP server (or API). Paste a prompt like these to develop, run, and fix automation without leaving your AI chat.

“We need a custom sync between Halo and our backup portal. They don’t talk. Build the PowerShell, save it, and schedule it nightly.”

What it does

  • Drafts PowerShell against both APIs
  • Saves the script to your library with version history
  • Sets up secrets references and a schedule
  • Runs a test job and reports back

“Jobs are failing on SPS. Pull the logs, fix the scripts, and re-run until they pass.”

What it does

  • Lists failed and recent jobs
  • Fetches job logs and reads the script source
  • Patches the script and saves a new version
  • Re-runs jobs and watches for success
  • Reports what changed and what still needs you

“My Custom Halo Reports script is failing. Debug it and come back with a recommended fix.”

What it does

  • Finds the script and its latest failed run
  • Reads stderr/stdout and version history
  • Traces the error to the failing line or API call
  • Proposes a concrete patch (you approve before save)

“Give me a full list of my automations and what they do in an easy-to-read table.”

What it does

  • Lists scripts, folders, and schedules via MCP/API
  • Pulls descriptions, tags, and cron cadence
  • Formats a readable table with last run status

“Every Monday, check Halo for SPS script-failure tickets. Use SPS MCP to fix what you can, log notes on the ticket, close if resolved, email me if not.”

What it does

  • Queries Halo for open failure tickets (scheduled or on demand)
  • Reads ticket context and links to the failed SPS job/script
  • Attempts fix, re-run, and verification through MCP
  • Logs progress in Halo; closes when green, escalates via email when stuck

“What failed overnight? Summarize errors and tell me what to fix first.”

What it does

  • Scans recent failed jobs and overdue schedules
  • Summarizes each error in plain language
  • Ranks by impact and suggests a fix order

Store & build

Get your scripts out of the wild

Draft with AI, version with confidence, and keep credentials out of chat logs.

Script library

One home for every integration script: organized, searchable, and not living on a random server. AI can list, read, and update scripts here too.

Version history

Automatic snapshots when you save. Roll back an AI-suggested “quick fix” before the rest of the team adopts it as gospel.

Secrets

Store credentials once, reference them in scripts, and never paste API keys into insecure places again. (We believe in you. Barely.)

Run & watch

Make automation behave

Every run leaves a trail your team and your AI assistant can follow.

Jobs

Run on demand, watch live output, stop a run when reality disagrees with your script. When it fails, ask AI what happened before you open the log yourself.

Schedules

Set the cadence each integration needs: nightly syncs, weekly reports, whatever keeps you out of manual busywork.

Ops dashboard

One morning screen for failures, overdue runs, and scripts that need attention. Work the list yourself or hand it to AI with “what should I fix first?”

Connect & protect

When something breaks, you hear about it

Alerts get you in the door. AI helps you through the rest.

Unlimited integrations

Any API your team can reach with PowerShell is fair game. AI is especially good at helping you wire up new ones.

Webhooks

Pipe failures into your stack instantly, then let AI summarize the payload so you know whether to panic or pour more coffee.

Also included

The grown-up stuff

Backup

On-box snapshots plus offsite backup, because “it was on the old laptop” is not a disaster recovery plan.

Roles & sign-in

Admins get the full toolbox. Operators get scripts, jobs, and schedules, without handing everyone the keys.

API & MCP access

The bridge between your platform and your AI tools. Automate the automator, or let the automator fix itself. (Within reason.)

Operator documentation (opens in a new tab)