Koskamo

Uwear MCP MCP server

Uwear MCP is an official remote server that integrates AI fashion production workflows into compatible AI assistants like Claude, ChatGPT, and Codex. It allows agents to automate tasks such as generating costed briefs, managing art direction, running automated QA on garment images, and organizing production assets based on user briefs and product data.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Uwear
MCP endpoint (Streamable HTTP)
https://api.uwear.ai/mcp
Vendor documentation

What you can do with it

  • Generate costed production briefs from a single prompt
  • Run automated QA checks on generated garment images
  • Organize and write finished assets to local folders
  • Automate repeatable fashion photoshoot workflows
Tools advertised by the last live check:
  • search_uwear_library
  • list_garments
  • get_garment
  • upload_garment_from_chat_file
  • upload_garment_from_public_url
  • list_avatars
  • upload_avatar_from_chat_file
  • generate_avatar
  • save_generated_avatar
  • list_outfits
  • get_outfit
  • create_outfit_from_garment_ids
  • build_avatar_prompt
  • propose_outfits
  • create_avatar_from_references
  • add_avatar_reference
  • list_locations
  • get_location
  • create_location
  • update_garment
  • create_tag
  • submit_uwear_feedback
  • get_generation_status
  • get_generation_results
  • apply_backdrop
  • queue_generation_result_qa
  • read_generation_result_qa
  • view_image
  • propose_montage
  • update_montage_proposal
  • estimate_cost
  • get_user_credits
  • update_preferences
  • list_tags
  • get_items_by_tag
  • request_user_context
  • save_reference_file_from_chat_file
  • propose_brief
  • update_brief
  • confirm_brief
  • get_brief
  • list_models
  • list_art_directions
  • get_art_direction
  • create_art_direction
  • update_art_direction
  • duplicate_art_direction
  • author_art_direction
  • iterate_art_direction
  • get_art_direction_authoring_job
  • list_templates
  • get_template
  • copy_template_to_generate_node_config
  • save_template
  • delete_template
  • prepare_local_garment_upload
  • finish_local_garment_upload
  • mcp_get_context
  • mcp_replace_context
  • mcp_add_context
  • mcp_clear_context
  • mcp_list_files
  • mcp_save_retouch
  • mcp_export_montage
  • mcp_generate_clip
  • get_connection_identity

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http uwear-mcp https://api.uwear.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add uwear-mcp --url https://api.uwear.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable uwear-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "uwear-mcp": {
      "url": "https://api.uwear.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.
Cline configuration
{
  "mcpServers": {
    "uwear-mcp": {
      "type": "streamableHttp",
      "url": "https://api.uwear.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start uwear-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "uwear-mcp": {
      "type": "http",
      "url": "https://api.uwear.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http uwear-mcp https://api.uwear.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "uwear-mcp": {
      "url": "https://api.uwear.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "uwear-mcp": {
      "serverUrl": "https://api.uwear.ai/mcp"
    }
  }
}

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