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Model Context Protocol

Let compatible AI tools search the visual library you already built.

Copy and paste is useful when you already know which reference you want. MCP becomes useful when the AI tool needs to help find the reference as part of the work.

01

Search from the working conversation

A compatible client can list your Gather categories, search references using natural criteria, and fetch a selected reference with its server-rendered AI handoff. Broad requests ask you to choose a category rather than silently searching everything.

02

Private and permissioned by design

The MCP server uses OAuth bearer authentication, verifies ownership for every result, and keeps access behind Gather's Pro entitlement. Connecting a client does not make your library public.

  • OAuth-based connection
  • Owned references only
  • Category-aware search
  • AI prompt rendered by Gather, not recreated by the client
03

A handoff for more than one AI client

Because the connection follows MCP rather than a client-specific plugin contract, the same Gather service can work with multiple tools that support remote MCP and OAuth.

Takeaway

MCP turns Gather from a library you visit into a private source an authorized AI tool can consult with you.

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