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Fashio AI

Registre officiel Médias et design

On-model and ghost-mannequin fashion photos from a product photo. Spends credits; needs an API key.

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http fashio-ai 'https://mcp.fashiolabs.com/mcp' --header 'Authorization: <Bearer fio_live_... (Fashio API key). Calls spend credits.>'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "fashio-ai": {
            "type": "http",
            "url": "https://mcp.fashiolabs.com/mcp",
            "headers": {
                "Authorization": "<Bearer fio_live_... (Fashio API key). Calls spend credits.>"
            }
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. fashio-mcp
  2. Setup
  3. Tools
  4. Billing
  5. Development
  6. Links
  7. License

fashio-mcp

MCP (Model Context Protocol) server for the Fashio API — lets Claude, Cursor, and other MCP-speaking agents generate on-model fashion photos directly, as tool calls.

Fashio turns a garment or product photo into publish-ready e-commerce photography and video with AI — virtual try-on, catalog packs, background removal, upscaling, reframing, and more. This package is the official MCP client for its public v1 REST API.

It's a thin wrapper: every tool here calls the same public api.fashiolabs.com v1 REST API a curl script would. No local business logic — the API is the source of truth.

Setup

  1. Create a free API key at fashiolabs.com → Profile → API Keys.
  2. Add Fashio to your MCP client — pick one of the two options below.
Option A — Remote (hosted, no install)

mcp.fashiolabs.com runs this same server as a hosted HTTP endpoint — nothing to install, just add the URL with your key as a bearer token:

{
  "mcpServers": {
    "fashio": {
      "url": "https://mcp.fashiolabs.com/mcp",
      "headers": {
        "Authorization": "Bearer fio_live_..."
      }
    }
  }
}

(Exact config UI/field names vary by client — Claude Desktop, Claude Code and Cursor all support adding a remote/HTTP MCP server by URL with custom headers as of 2026.)

Option B — Local (this package, stdio)

Runs on your own machine instead of a hosted endpoint — same tools, same billing.

Claude Desktop / Claude Code

claude_desktop_config.json (or .mcp.json for Claude Code):

{
  "mcpServers": {
    "fashio": {
      "command": "npx",
      "args": ["-y", "fashio-mcp"],
      "env": {
        "FASHIO_API_KEY": "fio_live_..."
      }
    }
  }
}
Running from source
git clone https://github.com/fashiolabs/fashio-mcp.git
cd fashio-mcp
npm install
npm run build

Then point your client's config at the built entry point instead of npx:

{
  "mcpServers": {
    "fashio": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-server/dist/index.js"],
      "env": { "FASHIO_API_KEY": "fio_live_..." }
    }
  }
}

Tools

ToolDescription
list_modelsEvery valid toolId for create_generation, with input shape and fallback price.
list_fashion_modelsBrowse the AI person model catalog (gender, limit).
list_venuesBrowse the venue/background catalog (limit).
list_posesBrowse the pose catalog (type, limit).
upload_imageUploads a local file (jpg/png/webp, max 8MB) and returns a usable URL.
create_generationStarts a job — same request shape as POST /v1/generations. Returns {id, status: "processing"}. Pass templateSetId to reuse a saved style instead of picking fashion_model/venue/pose by hand.
get_generationPolls a job by id until status is completed or failed.
get_accountEmail, plan, diamond (credit) balance, and renewal date for the account that owns the key.
create_template_setSaves a completed generation's fashion_model/venue/pose/shotType/stylePreset/ratio as a named preset — reuse it on a new garment via create_generation's templateSetId.
list_template_setsLists presets saved with create_template_set.
delete_template_setDeletes a saved preset.
list_ready_template_setsBrowses Fashio's own curated "ready photoshoot" library (model + venue + pinned poses) — a different, larger catalogue than your own saved presets above.
get_ready_template_setFetches one curated set, including its full list of shots.
create_catalog_jobRuns your product photo through every shot (or a chosen subset) of a curated photoshoot set — one image per shot, billed per shot. Poll with get_generation.

See docs.fashiolabs.com for the full endpoint reference these tools wrap, and docs.fashiolabs.com/llms-full.txt for a plain-text version written for an LLM to read in one pass — including which images.* fields each toolId needs.

Billing

There is no separate MCP or API plan. Every create_generation call deducts diamonds (Fashio's credit unit) from the account that owns the API key — exactly as a generation from the app or dashboard would. A failed generation refunds its diamonds automatically.

Development

npm run dev    # tsc --watch
npm run build
npm start      # runs dist/index.js directly (expects FASHIO_API_KEY in env)

License

MIT — see LICENSE.

Questions fréquentes

Qu'est-ce que Fashio AI ?

On-model and ghost-mannequin fashion photos from a product photo. Spends credits; needs an API key.

Comment installer Fashio AI ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http fashio-ai 'https://mcp.fashiolabs.com/mcp' --header 'Authorization: <Bearer fio_live_... (Fashio API key). Calls spend credits.>'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Fashio AI ?

Oui. Il attend Authorization, à renseigner dans sa configuration.

Fashio AI est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Fashio AI ?

Il est publié par fashiolabs. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.