mcpField
U
Uwear.ai

Uwear.ai

VerifiedFeaturedRemote

About Uwear.ai

Run complete AI fashion photoshoots from ChatGPT, Claude, or Codex. Turn flat-lay, packshot, and mannequin product images into catalog-ready on-model photos and video with saved art direction, automatic QA, and catalog-s

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.uwear.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

70
ParameterTypeRequiredDescription
promptstringYesInstruction shown to the user, e.g. 'Select the clothing items you want to use and add them to the Shoot Board'
board_idstringNoThe open Shoot Board's board_id, from Open Shoot Board or your context.
min_itemsintegerNoMinimum number of items the user must provide
expected_typesarrayYesAccepted item types (match panel tabs): 'clothing', 'models', 'outfits', 'generations', 'files'. Legacy 'file' is accepted as an alias for 'files'.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.