Fashio AI

com.fashiolabsPublished by fashiolabs.comOfficial publisherv0.1.1Updated Oct 27, 2026

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

VerifiedStreamable HTTPWeb executableBusiness & CommerceMedia & Design

Overview

AI-generated overview

Fashio AI turns a garment or product photo into on-model and ghost-mannequin fashion photos and video through tool calls, billed in credits.

What you can do
  • Browse catalogs of AI person models, venues/backgrounds, poses and available generation tools
  • Upload a local product image (jpg/png/webp, up to 8MB) and get a usable URL
  • Start a generation job and poll it until it completes or fails
  • Save, list and delete reusable style presets from completed generations
  • Browse curated ready-made photoshoot sets and run a product photo through every shot as a catalog job
  • Check the account's email, plan, credit balance and renewal date
When to use it
Useful when you need e-commerce fashion imagery — virtual try-on, on-model or ghost-mannequin shots, catalog packs, background removal, upscaling or reframing — generated from product photos without leaving the assistant.
Requirements
A remote hosted endpoint at mcp.fashiolabs.com over streamable HTTP, or the local npm package run via npx or from source with Node.js. Requires a Fashio API key sent as a bearer token in the Authorization header (or FASHIO_API_KEY for the local package), created in the Fashio account profile. Network access to the Fashio API.
Before you install
The API key is a live credential that grants access to the account and its credit balance; keep it out of shared configs. Every generation call deducts diamonds (credits) from the account, and catalog jobs are billed per shot, so agent-driven runs can spend money. Uploaded images are sent to Fashio's API, and preset deletion is irreversible.

Installation

In SourceWeft

  1. Open Fashio AI in the dashboard and add it to a workspace.
  2. Connect Authorization token credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.fashiolabs%2Ffashio/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "fashio-ai": {
      "type": "http",
      "url": "https://mcp.fashiolabs.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

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:

json
{  "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):

json
{  "mcpServers": {    "fashio": {      "command": "npx",      "args": ["-y", "fashio-mcp"],      "env": {        "FASHIO_API_KEY": "fio_live_..."      }    }  }}

Running from source

bash
git clone https://github.com/fashiolabs/fashio-mcp.gitcd fashio-mcpnpm installnpm run build

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

json
{  "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

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

Links

License

MIT — see LICENSE.

Source: README.md at commit 2311caa

Tools

0
This server asks for a credential such as an API key, so SourceWeft could not read its tools without one and has not indexed them.

Version history

1
  1. v0.1.1LatestOct 26, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts