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Velox TriFit: Virtual Try-On API

by Velox-XRversion 2.0.1i★ –iRuns in the cloud
Registry nameio.github.Velox-XR/velox-trifit-developer

Install

Overview

Description from the maker (original English)

Virtual try-on (VTO) API docs and SDK examples; OAuth account/guest photo uploads and try-ons.

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

Install

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

Before you install

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://studio.v3lox.com/partner/trifit/mcp

Run this in your terminal

claude mcp add --transport http velox-trifit-developer https://studio.v3lox.com/partner/trifit/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "velox-trifit-developer": {
      "url": "https://studio.v3lox.com/partner/trifit/mcp"
    }
  }
}

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": {
    "velox-trifit-developer": {
      "type": "http",
      "url": "https://studio.v3lox.com/partner/trifit/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://studio.v3lox.com/partner/trifit/mcp

Menu names can differ slightly by plan and over time.

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

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

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

  • get_trifit_account

    Identify whether this verified connection is a guest session or a personal TriFit account before choosing tools. Does not link, switch, create an account or trust a conversational email hint.

  • get_trifit_profile

    Read the stable profile represented by this connection. No account creation, switching, uploads or generation. Use get_trifit_account for connection mode and allowance source.

  • get_trifit_allowance

    Read the same daily, weekly and monthly allowances as the TriFit website. Does not create, reset or spend credits.

  • list_trifit_library

    Read metadata for your saved personal photos, products, looks and DressMe requests. No image bytes or guest history transfer.

  • prepare_trifit_upload

    For a user-selected local file in Codex, with explicit permission: create a private, one-use upload URL valid for at most five minutes. PUT only that JPEG/PNG/WebP file as raw bytes, with its image Content-Type, no API/OAuth headers and no redirects. Do not print or share the URL

  • upload_trifit_image

    With explicit permission, import the selected personal or clothing image into the connected TriFit account. Resizes automatically, saves it in the website library and selects its photo/product slot. Product images also use the existing cached description preparation. Never import

  • create_trifit_try_on

    Only after explicit user approval, submit one DressMe request using two existing account image IDs. Uses the website queue and existing account allowance, not the guest demo. The attempt can consume allowance. Never automatically retry, replace the request ID or claim that a time

  • get_trifit_try_on

    Read the status, recorded duration and result ID of an existing account DressMe request without generating or replaying. A missing receipt means acceptance is uncertain, not that it never ran.

  • show_trifit_try_on

    Show a completed account DressMe image inside the conversation. Requires separate private-image permission. Uses only the existing result; no generation, upload, public share or new allowance is used.

  • get_guest_demo_status

    Read the current private guest-session allowance and its perSessionLimit denominator. Does not upload images or generate anything.

  • prepare_guest_upload

    For Codex/local files: reserve one single-use HTTPS PUT upload for a personal photo or product image. Upload the user-selected file bytes to the returned URL; do not disclose that capability. Server resizes JPEG, PNG or WebP automatically. At most one upload per role per guest se

  • create_try_on

    Generate a DressMe virtual try-on from the user’s personal photo and clothing reference only after their explicit request and permission. In ChatGPT pass both attached image files; in Codex pass the two asset IDs returned by completed private uploads. Use one method, not both. Co

  • get_try_on

    Read only an existing request belonging to this authenticated guest session. With include_image=true, shows the completed image in a result card in ChatGPT and an inline image in other MCP clients. Does not create/retry a generation. Poll no more often than once every five second

  • search

    Find official Velox DressMe virtual try-on integration documentation, authentication, SDK languages, upload, polling and recovery guidance. Searches only the deployed public documentation corpus.

  • fetch

    Read the full public document for an ID returned by search, with an official source URL and deployed content checksum. Does not fetch arbitrary URLs or private files.

  • get_integration_example

    Retrieve the runnable offline JavaScript/Node.js integration example or accompanying TypeScript declarations. Other language SDKs are not released. The example uses dummy local responses, with no cloud calls or generation charges.

  • get_partner_access_requirements

    Explain how to apply for manually provisioned Velox Partner API access and keep the scoped application key on a backend. Does not create accounts, issue keys, send an application or promise a universal free allowance.

  • get_partner_application_guide

    Read the official in-chat Partner API application workflow: partner@v3lox.com, sender confirmation, optional project details, draft preview, send approval and actual reply verification. Public guidance only; this tool does not send email, inspect a mailbox, submit a form, issue k

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Velox-XR, which owns the repo

  • … 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 387 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 18 tool descriptions and found no hidden instructions to the AI

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2785 servers in this category
  • Published to the registry more recently than 74% of the other 2785 servers in this category
  • Basic checks equal to or better than 100% of the other 2785 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 Velox TriFit: Virtual Try-On API safe?

It passed 3 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (2.0.1) 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

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

by HUANGCHIHHUNGLeoWidely used↓ 1.1K/wk★ 2.3KUpdated 2 months ago

Runs on your computer

Figma MCP Server

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.

by figmaGrowing★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

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.

Velox TriFit — Virtual Try-On API, MCP Server and JavaScript SDK

Build virtual try-on (VTO) into a website, mobile app or retail platform with the Velox TriFit Partner API, or connect a coding agent to the Velox TriFit MCP server for official API guidance or a user-approved account/guest clothing preview. Use the hosted MCP connection and tool reference for the latter; authenticated client acceptance remains incomplete. DressMe is the virtual try-on operation: it turns a shopper photo and a garment image into an AI outfit preview. The TriFit app is the consumer experience; using it is separate from obtaining Partner API credentials.

This official developer repository contains the JavaScript SDK with TypeScript declarations, runnable REST integrations, tutorials, Codex, GitHub Copilot and Gemini CLI MCP configuration examples, and a portable integration skill. Read the API overview, then choose the integration route below. Other languages can use the documented HTTP API; this repository does not claim an unshipped SDK.

Virtual dressing and visual fitting rooms

Use DressMe for photo-based virtual dressing: a shopper photo and clothing reference produce an AI outfit preview. A virtual fitting room built with DressMe provides a visual preview, not body measurements, clothing-size prediction or a guarantee of physical fit. The REST quickstart explains the upload, job submission and status flow; the JavaScript SDK provides the integration code.

Choose REST API or MCP

Integration routeWhat it providesStart here
REST API in your application backendSubmit virtual try-on requests using your separately approved partner configuration; keep keys out of browsers and mobile appsREST quickstart · JavaScript SDK · Access requirements
MCP in a coding agentSearch official docs, fetch API contracts and get integration examples while building an applicationVirtual try on MCP: Codex, Copilot and Gemini setup · Public MCP guide
MCP for a personal clothing previewUse the connected TriFit account or limited guest session through normal OAuth and consent; generation uses that route's allowanceHosted endpoint, inputs and result tools · Verified release status
Portable integration skillReusable instructions for an agent to plan and implement the integration; it can also use the public source without MCPSkill source and installation

For a new direct MCP connection, use https://studio.v3lox.com/partner/trifit/mcp. Documentation-only work needs no TriFit sign-in or Partner API key: allow only search, fetch, get_integration_example and get_partner_access_requirements as described in the client guide. The server as a whole is not read-only. Its account/guest upload and try-on tools require separate OAuth authorization and user consent; they are not part of a documentation check. Connecting MCP or installing a skill does not grant Partner API credentials, generation allowance or deployment access.

The published OpenAI Developer plugin is a separate installation route. Its existing reviewed connection is managed separately; a new direct MCP setup or this README update does not migrate it.

Start here

Want to…Go here
Try without an accountHosted demo — free shared, limited queue
Try with your own saved photos, products and historyTriFit app — sign in/create an account and use its available free daily/weekly/monthly allowance
See your demo requests and download the SDK ZIPDemo dashboard & SDKs
Explore immediately on your computer, without credentialsDownload this repository; run npm run preview with Node.js 22+
Build a real integrationGetting started · Apply for access
Run real DressMe from code with my existing TriFit account, without a partner keyExample 2: account sign-in
Understand which access route to useAll DressMe options
Read the API flowTechnical walkthrough
Choose an SDKSDK catalogue
Use Codex or GitHub Copilot to build a web/mobile integrationMCP setup and mobile starter prompt · Portable integration skill
Use Gemini CLI or Google Antigravity for API guidanceNative Google client setup — documentation tools only
Verify the agent connection, then build safely offlineFour-call MCP check · Agent-to-backend tutorial
Install the published OpenAI Developer pluginVelox TriFit Developer — read-only API guidance
Connect the current MCP serverVelox TriFit MCP — protocol endpoint; documentation-only client setup · account/guest connection reference
Find the current MCP server in the official registryVelox TriFit registry listing · Publication record
Find the public API overviewVelox TriFit Partner API

Two public pages, not the Velox operator admin. The dashboard shows only the visitor's own browser-session requests and public SDK downloads. It exposes no keys, routing, quota editing, other visitors' photos or traffic-test controls. Hosted UI updates follow the Studio Development-to-Production release gates; the public host may run an earlier accepted version than the source you inspect.

See real public try-on examples

Existing official TriFit examples: AI personal portraits, clothing references and their actual TriFit outputs. These are historical examples, not mocks, newly run tests or performance/quality comparisons. Provenance and media notes.

ExamplePersonal photoClothing referenceTriFit result
Amara · activewear
Mateo · overshirt

Try your own photos in the TriFit app with available account allowance, or the shared demo without an account. The live host receives UI updates through its separate release.

Outfit-collage starter products

The demo source includes the same five clothing collages used in our provider comparison tests, copied without image edits. Select a whole board as the product reference and use a separate personal photo. Reference models inside a board are not the target person. Accessory transfer and garment fidelity can vary.

Green trench · detailsGreen trench · full lookBurgundy trench & skirt
Navy blazer & argyle skirtLeather jacket & denim

These are product inputs, not generated result images or proof of provider rankings. They are separate from the matched Amara/Mateo examples above. Brand names within the boards do not imply endorsement.

Install the Codex plugin

The Velox TriFit Developer OpenAI listing is published as Velox TriFit API Docs 1.1.6 (verified 28 October 2026). Its reviewed binding remains the legacy /partner/docs/mcp with four public documentation tools. It has not migrated to the unified endpoint. You can also connect the public documentation MCP directly in Codex or Copilot without installing the full plugin. Neither route grants live Partner API access. The official MCP Registry listing, io.github.Velox-XR/velox-trifit-developer version 2.0.1, was independently verified active and latest on 28 October 2026. It points to the current connection: https://studio.v3lox.com/partner/trifit/mcp. This follows 2.0.0 and supersedes the initial 1.1.0 legacy-endpoint publication under the same identifier, not a second listing. GitHub's curated registry onboarding is pending; the listing request has been submitted, not approved. See the publication record and update checklist. Registry publication does not guarantee search rankings or automatic agent recommendations.

See installation and test prompts. The GitHub marketplace package is separate from universal directory review and approval.

Velox TriFit — API guidance and try-on in one plugin

The Velox TriFit ChatGPT/Codex plugin combines API guidance with consented account or guest try-on in one package. The v1.2.3 Production-targeted source and reproducible ZIP builder are available for inspection. The current Production endpoint's initial 18-tool inventory and four anonymous documentation calls were verified on 24 October 2026. The 1 November check covered all five public tools; see the dated release status. Neither check proves authenticated try-on/client acceptance or public-directory approval. This repository distributes Production packages only. Private D

Only the beginning is shown; read the rest in the repo

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