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PopNx MCPMCP servers for people who use AI · explained in plain words

Fashio AI

by fashiolabsversion 0.1.1i★ –iRuns in the cloud
Registry namecom.fashiolabs/fashio

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Design, images & audio
  • You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 2 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http fashio https://mcp.fashiolabs.com/mcp --header 'Authorization: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "fashio": {
      "url": "https://mcp.fashiolabs.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "fashio": {
      "type": "http",
      "url": "https://mcp.fashiolabs.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • Authorization secret required HTTP header
    Bearer fio_live_... (Fashio API key). Calls spend credits.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain fashiolabs.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 213 ms (HTTP 401)

  • ! Caution

    Sign-in with OAuth

    Needs a key or token that you copy and paste yourself

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2751 servers in this category
  • Published to the registry more recently than 73% of the other 2751 servers in this category
  • Basic checks equal to or better than 43% of the other 2751 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Fashio AI safe?

It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: Authorization

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 12 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Runs on your computer★ 16,165MITUpdated 5 months ago
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Claude Real Video

by HUANGCHIHHUNGLeo

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Runs on your computer★ 2,284MITUpdated 2 months ago
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Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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)

Links

License

MIT — see LICENSE.

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