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PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

Velox TriFit: Virtual Try-On API

作者:Velox-XRバージョン 2.0.1i★ –iクラウドで動く
レジストリ名io.github.Velox-XR/velox-trifit-developer

インストール

概要

作者による説明(英語の原文)

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

PopNx MCPの3つの柱

この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

  • 接続方法: クラウドで動く
  • トランスポート: Streamable HTTP
  • カテゴリ: デザイン・画像・音声

インストール

使っているAIアプリを選んで、設定をコピーしてください。

インストールの前に

必要なもの

どのアプリを使っていますか?

上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。

ウェブ、デスクトップ、モバイルのClaudeで使えます:

  1. Settings → Connectors を開く
  2. Add custom connector を押す
  3. 下のアドレスを貼り付けて Add を押す
  4. サインインを求められたら、作者のサービスにサインインする
SettingsConnectors1+ Add2https://…3
https://studio.v3lox.com/partner/trifit/mcp

ターミナルでこれを実行します

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

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

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

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

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

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

ChatGPTがつなげるのは、インターネット上のサーバーだけです:

  1. ウェブ版のChatGPTを開き → Settings → Connectors (Apps)
  2. Create または Add を押す(プランによっては、先に Advanced で Developer mode をオンにする必要があります)
  3. 下のアドレスを貼り付け、名前を付けて保存する
  4. サインインを求められたら、作者のサービスにサインインする
SettingsConnectors1+ Create2https://…3
https://studio.v3lox.com/partner/trifit/mcp

メニューの名前は、プランや時期によって少し違うことがあります。

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

ツールの名前と説明は、サーバーが2026年11月7日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。

  • 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

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック

  • ✓ 合格

    作者とリポジトリが一致

    レジストリ名は、リポジトリを所有するGitHubアカウント Velox-XR で確認済みです

  • … 未チェック

    今もメンテナンスされている

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    ライセンスがある

    このリポジトリはまだGitHubから読み取っていません

  • ✓ 合格

    エンドポイントが応答する

    387ミリ秒で応答(HTTP 200)

  • – 対象外

    OAuthでサインイン

    サインイン不要

  • ✓ 合格

    ツールの説明に隠れた指示がない

    18件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした

デザイン・画像・音声のほかのサーバーとの比較i

  • このカテゴリのほかの2757件のうち0%よりスターが多い
  • このカテゴリのほかの2757件のうち75%より最近レジストリに公開
  • 基本チェックの結果が、このカテゴリのほかの2757件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

よくある質問

Velox TriFit: Virtual Try-On APIは安全ですか?

当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。

どんなキーやコードが必要ですか?

レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。

パソコンで動きますか、それともクラウドですか?

作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。

今もメンテナンスされていますか?

GitHubリポジトリの最終更新は–、最新バージョン(2.0.1)がレジストリに届いたのは11 日前です。

どのアプリで使えますか?

Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。

代わりに使えるものは?

同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i

Figma Context MCP

作者:GLips

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

パソコンで動く★ 16,165MIT5 か月前更新
インストール

Claude Real Video

作者:HUANGCHIHHUNGLeo

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

パソコンで動く★ 2,284MIT2 か月前更新
インストール

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

クラウドで動く★ 2,15213 か月前更新
インストール

作者のREADME

READMEを開く

作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。

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

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