Why AI capability gets fragmented inside organisations

Most organisations did not plan an AI estate. People adopted Claude, ChatGPT, Cursor, and a handful of MCP connectors because the work demanded it. The result is familiar: useful skills and working methods stuck with whoever wrote them first.

What fragmentation looks like

• Two people solve the same SEO or client workflow with incompatible prompts.

• An MCP is connected on one laptop and invisible to everyone else.

• New starters ask around for “how we do AI here” and get five different answers.

• Sensitive tools are either over-shared or never documented.

A catalogue is not a proxy

The missing piece is usually not another runtime gateway. It is an inventory: what MCPs exist, what tools they expose, what skills and prompts make them usable, and who is allowed to see them. That is the problem Joyst is built to solve — a governed catalogue alongside the agents you already run.

Where to start

If you are mapping this for your team, begin with the MCPs you already trust, the skills people already paste into chats, and the groups that should own each area. Then put a publishing path around the skills that matter. See also our features overview.