Explore setup guides, API references, and best practices.
Integration layer for OTOBO, Znuny, and Zammad. Setup, connectors, rules, and API.
On-prem control plane. Tag schemas, backlog tagging, hardware sizing, and evaluation.
Technical user setup and Generic Interface webservice import.
Environment variables and connectors for OTOBO, Znuny, and Zammad.
On-prem admin UI for ticket classification schema and settings.
Install the open-source Zammad MCP Server for AI tools.
Open-source internal AI chat for Zammad via LibreChat and MCP.
Updates and insights from the team.
Connect Claude Desktop or Cursor to Zammad 7.1 with the open-source Zammad MCP Server. Token setup, access-control recipes, and Zammad 7.1.3 compatibility.
Open-weight helpdesk models that fit a single workstation GPU — what they can do, how the last year changed the field, what 24 GB vs 48 GB costs, and why chatbots hit a concurrency wall.
What GPU VRAM you need for on-prem ticket AI, how hardware and API costs compare, and what Open Ticket AI runs locally — classification, summaries, Full On-Prem.
