Zammad + AI - for ChatGPT, Claude, GitHub Copilot, Microsoft 365 Copilot, Gemini, and any agent that speaks MCP
Unofficial. Community-built Claude Code Skill and MCP server for the Zammad API. Not affiliated with, endorsed by, or sponsored by Zammad GmbH.
Full skill page - install, outcomes, safety model.
Every Zammad ticket, article, and Knowledge Base operation as one CLI and MCP server - plus a team-management layer (agent load, customer health, aging backlog, escalation triage, churn risk, feedback mining) the Zammad API can't answer in a single call. Works with the AI you already use - ChatGPT (Plus/Pro+), Claude Desktop, Codex, Claude Code, Claude Cowork, and GitHub Copilot - plus Microsoft 365 Copilot / Copilot Studio and Google Gemini via the remote path. Free, open source, runs on your laptop. Built for MSP owners. No code required.
Works with your agent
The six agents MSP owners actually use (self-serve, works today):
| Your AI agent | How to install the Zammad skill |
|---|---|
| Claude Desktop | Run installer, then Settings > Extensions to register zammad-mcp (no JSON editing). |
| ChatGPT (paid plans) | Run installer, expose zammad-mcp over HTTPS, register as a Developer Mode connector. |
| Codex CLI | Paste the install prompt below. |
| Claude Code | Paste the install prompt below. |
| Claude Cowork | Paste the install prompt below. |
| GitHub Copilot (VS Code) | Run installer, add zammad-mcp to mcp.json under the servers key, then pick Agent mode. |
For ChatGPT, the Zammad MCP server is stdio - to use it with ChatGPT you expose it over HTTPS via the mcp-remote bridge or your own endpoint. See mcp-install.md.
Also for the Microsoft and Google stacks
Big install base, but an honest heads-up: these are the remote / enterprise path, not the local binary you just installed.
| Agent | What it takes |
|---|---|
| Microsoft 365 Copilot / Copilot Studio | Not self-serve. Host zammad-mcp over HTTPS, then wire it into Copilot Studio (Tools > Add a tool > Model Context Protocol > Server URL) or a declarative agent. Needs a Copilot Studio license + tenant admin. See mcp-install.md. |
| Google Gemini | Gemini CLI is local - same as Claude Code. The Gemini app is remote - same HTTPS path as ChatGPT. See mcp-install.md. |
Skill-native agents (also covered): Hermes and OpenClaw read this skill's
SKILL.mddirectly and speak MCP - see their install sections below. Also works with Cursor, Windsurf, Cline, Continue.dev, and Zed via MCP. Full per-tool wire-up: docs/which-agent.md.
Run more than one agent? Install across all 51+ supported agents in one command:
npx skills add Servosity/msp-skills@latest(requires Node.js, then run the per-skill installer for the CLI/MCP binaries). See docs/which-agent.md.
Install in 60 seconds
Fastest for Claude Desktop - one-click .mcpb
Download Zammad MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Zammad release on the releases page.)
Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:
/plugin marketplace add Servosity/msp-skills
/plugin install zammad@msp-skills
Path A - paste one prompt into your AI agent (recommended)
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the Zammad Skill and MCP server from Servosity/msp-skills in this agent workspace. If this workspace uses a POSIX shell (macOS, Linux, WSL, or Bash), run
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/zammad/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/zammad/install.ps1 | iex. Then authenticate per the README and runzammad-cli --helpto explore.
The same prompt works in any agent that can run shell.
Path B - run the installer yourself
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/zammad/install.ps1 | iex
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/zammad/install.sh)
The installer drops both zammad-cli (the CLI) and zammad-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.
Verify:
zammad-cli --version
Upgrade to the latest version
The installer always fetches the current release - re-run it to upgrade:
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/zammad/install.sh)
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/zammad/install.ps1 | iex
Claude Desktop .mcpb users: download the latest .mcpb (top of this section) and re-select it in Settings > Extensions. Claude Code plugin users: /plugin update zammad@msp-skills.
Add to Claude Desktop, GitHub Copilot, Gemini CLI, Microsoft 365 Copilot, or another MCP client
After the installer runs, see mcp-install.md and docs/which-agent.md for the per-agent wire-up - one section per agent, including the GitHub Copilot servers key and the remote Microsoft 365 Copilot / Copilot Studio path. Claude Desktop's Settings > Extensions panel is the simplest path; the MCP config block (for users who prefer editing JSON) is documented in mcp-install.md.
Install for Hermes
From the Hermes CLI:
hermes skills install servosity/msp-skills/skills/zammad --force
Inside a Hermes chat session:
/skills install servosity/msp-skills/skills/zammad --force
Hermes speaks MCP natively, so it can also use the zammad-mcp server directly - same install path, same env vars.
Install for OpenClaw
Tell your OpenClaw agent (copy this):
Install the zammad skill from https://github.com/servosity/msp-skills/tree/main/skills/zammad. The skill defines how its required CLI (
zammad-cli) can be installed via theopenclaw:frontmatter block.
OpenClaw isn't generally available yet; the frontmatter wiring is pre-shipped and will activate the moment OpenClaw launches.
Authenticate
Set the credentials the CLI needs (from your Zammad portal):
ZAMMAD_API_TOKEN=<value> zammad-cli doctor
doctor confirms the credentials work before you run anything that touches data.
What this skill does
| Question your team keeps asking | Command |
|---|---|
| Who on support is overloaded right now? | zammad-cli agent-load --json |
| Is each agent's queue growing or shrinking? | zammad-cli agent-trend --weeks 4 --json |
| Which customers are struggling and need attention first? | zammad-cli customer-health --at-risk --json |
| What tickets have been open too long? | zammad-cli overdue --days 3 --json |
| Which customers sound upset and should be escalated? | zammad-cli escalate --json |
| Which accounts are trending toward churn, and why? | zammad-cli churn-risk --json |
| What are customers asking for (features, pricing, compliance)? | zammad-cli feedback-scan --bucket pricing --json |
| Find and read open tickets (scope to a customer with organization_id:N) | zammad-cli tickets search --query "state:open" --json |
| Log a note or search the Knowledge Base | zammad-cli ticket note 12345 --body "..." --internal · zammad-cli kb search "restore" --json |
Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.
What makes this different
Most Zammad integrations and MCP servers proxy each question into a live API call. That's fine for one record. It dies at scale, when you're asking "who on the team is overloaded across every open ticket" or "which of our customers have the most aging, angriest threads this quarter" - questions the Zammad API has no single endpoint for.
This skill syncs Zammad into a local SQLite mirror with full-text search. Aggregate questions become one local SQL join: instant, offline, and the AI sees the answer, not the raw data. Compound commands like agent-load, churn-risk, and feedback-scan join across tickets, articles, organizations, and users - work a stateless API wrapper can't do.
The pain this closes
The recurring complaint about ticketing tools on r/msp is the same: dashboards tell you what's in a queue but never roll up across tickets - per-agent load, which customers keep reopening, which accounts are quietly heading for the exit. So the weekly ritual is exporting tickets to a spreadsheet and rebuilding those answers by hand, while the two signals that actually predict churn - a customer who sounds fed up, and feature/pricing/compliance asks buried in article threads - never surface until the account is already gone.
zammad-cli agent-load- who's overloaded now, open/pending/backlog per agent.zammad-cli overdue --days 3- every ticket open too long, priority-weighted, worst first.zammad-cli escalate- active tickets whose inbound customer messages read as upset, with the matched text shown.zammad-cli churn-risk- accounts trending toward churn, scored with the reasons listed.zammad-cli feedback-scan --bucket pricing- what customers keep asking for, bucketed with source tickets.
See pain-point.md for the longer narrative.
Frequently asked questions
Does this work with ChatGPT?
Yes, on Plus, Pro, Team, Business, Enterprise, and Education plans (Free tier does not yet expose Developer Mode). ChatGPT connects to remote MCP servers over HTTPS, not local stdio binaries. The Zammad MCP server is local, so for ChatGPT you expose it via the mcp-remote bridge or your own HTTPS endpoint. Step-by-step in mcp-install.md.
Does this work with Codex, Cursor, Windsurf, Cline, Copilot, or Gemini?
Yes - all of them speak MCP. Cross-tool install commands are in the matrix above and the deep-dive in docs/which-agent.md.
Do I need to know how to code?
No. The recommended install is to paste one sentence into Claude Code or Codex - your agent reads SKILL.md and does the install. The fallback is a one-line installer per OS (bash or PowerShell). Neither path requires writing code. You'll enter your Zammad credentials once.
Is my Zammad data safe?
Your data stays on your machine. The CLI and MCP server are local binaries. The SQLite mirror sits in a directory under your user account. The AI agent only sees what the CLI returns - typically a query result, not raw bulk data. Credentials are read from your environment or your agent's config; never bundled into this repo or transmitted anywhere by MSP Skills.
Does it work with my Zammad instance, self-hosted or hosted?
Both. Point it at any Zammad instance with ZAMMAD_URL (for example https://support.yourcompany.com) and a personal access token in ZAMMAD_API_TOKEN, created under Profile → Token Access. Nothing is hardcoded to a specific instance.
How is this different from Zammad's built-in AI features?
Zammad's AI (ticket summary, writing assistant) works inside a single ticket. This works across the whole desk - team load, aging backlog, customer health, churn signals, and feedback themes - and hands structured JSON to the AI agent you already use.
Are the escalation, churn, and feedback signals AI sentiment analysis?
No. They're transparent keyword-and-timing heuristics that surface the tickets and the matched text for your AI or a human to judge. They flag candidates and show the evidence - they never claim a verdict on their own.
What does it cost?
Free. Apache-2.0 licensed. You pay only for whichever AI agent you use (Claude, ChatGPT, Codex, etc.), and that's billed by your AI provider, not by us.
Safety model
| Tier | Examples | Recommended agent policy |
|---|---|---|
| Read | agent-load, agent-trend, customer-health, overdue, escalate, churn-risk, feedback-scan, tickets search/get, articles by-ticket, kb browse/search/get, search, sync | Allow |
| Write (routine) | ticket note, tickets create/update, articles create, tags add/remove, organizations create/update, users create/update, kb answer-create/publish/internal, kb category-create | Preview with --dry-run, then a reviewed write |
| Destructive / config | tickets delete, kb answer-delete | Human-in-the-loop only |
The strongest control is the scope you grant the Zammad credentials - the CLI can only do what the credentials are permitted to do. Full details, including how to lock it down, are in governance.md.
Status
Beta. Validated against the Zammad API surface and being validated with MSPs running it live against their own production tenant in our weekly Build Sessions. RSVP at compoundingteams.com/build-sessions.
Standards. Conforms to the open Agent Skills spec (Anthropic, Dec 2025; 40+ agents). MCP-compatible - works with any MCP-capable agent including Hermes. OpenClaw-ready (frontmatter pre-wired, awaiting OpenClaw launch).
Maintained by Servosity. Apache-2.0 licensed. Built with CLI Printing Press. Last updated: 2026-07-11.