プロトタイプ · プレビュー版:公式レジストリのすべてのサーバーを掲載し、30分ごとに同期しています。レビューとアカウント機能は今後のステップで始まります。
PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

Flask

作者:tryflaskバージョン 1.4.1i★ –iクラウドで動く
レジストリ名io.github.tryflask/flask

インストール

概要

作者による説明(英語の原文)

Video review for agents: upload renders, read time-coded feedback, iterate version by version.

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://api.flask.do/api/mcp/mcp

ターミナルでこれを実行します

claude mcp add --transport http flask https://api.flask.do/api/mcp/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": {
    "flask": {
      "url": "https://api.flask.do/api/mcp/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": {
    "flask": {
      "type": "http",
      "url": "https://api.flask.do/api/mcp/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://api.flask.do/api/mcp/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_guide

    Returns one of Flask's usage guides as Markdown: fixed text written by Flask, the same for every user, with no team data in it. "instructions" (about 15 KB) is the playbook for working with Flask: where uploads go (a new asset or a new version), what an agentic edit attaches, how

  • contents

    Browse the team's folders and assets one level at a time. No id: the team's top level (root folders and assets; team names the team). folder_id: that folder's child folders and assets. asset_id: that asset's versions (version_id, version number, title, status, which one is curren

  • feedback_list

    List top-level feedback on an asset (pass the asset id for its current version, or a version id for that exact version; a folder id is refused - use recent_activity(folder_id)). By default only OPEN feedback (not yet completed) is listed: the feedback that still needs action; cou

  • feedback_get

    Get a single feedback item with its full reply thread. element_id is the item's id, as feedback_list, recent_activity, search or wait_for_feedback return it. Use it when an item has replies (feedback_list gives reply_count, not the replies) or to read one item again; to list an a

  • wait_for_feedback

    Wait for NEW feedback on an asset (comments and replies by others; your own posts are not returned). Blocks up to timeout_seconds (default 45) and returns as soon as new feedback arrives, or times out with an empty list. A recording arrives once its transcript is done; recordings

  • feedback_post

    Create a feedback comment on an asset, as the connected user. Pass an asset id (the comment lands on its current version) or a version id (that exact version). content is Markdown (a heading, lists, bold, links, @mentions as links - see the content parameter). PREFER passing time

  • feedback_update

    Edit an existing feedback item. content (Markdown - replaces the whole body; start from the item's current content to keep its mentions and formatting) and timestamp (video time in seconds) can only be changed on the connected user's OWN comments. add_tags / remove_tags apply the

  • get_annotated_frames

    The visuals of a feedback item, in one call: call it before acting on any item with a visuals field (a recording, a drawing, images). element_id is that item's id, as feedback_list, feedback_get, recent_activity, search or wait_for_feedback return it. For a recording: a frame for

  • get_frame

    Fallback for ONE moment get_annotated_frames did not show: the exact frame at a recording time (at) or when a word/phrase was spoken (word). get_annotated_frames already shows every [phrase](#rt=S) link in a comment - call it first; use this for a moment the comment doesn't link

  • asset_status

    Check whether an uploaded or imported video is ready. Pass the version id an upload returned (its asset_id) or an asset id (resolves to its current version); a folder id is refused. status is one of: ready; pending_ingest, processing, preparing or waiting (still working - check a

  • version_download

    Get a download link for a version's file, to work on it locally. Pass a version id (an upload's asset_id / version_id) or an asset id (its current version); a folder id is refused. A video gives its ORIGINAL uploaded file, exactly as uploaded: Flask keeps it for the team's downlo

  • permission_get

    Read the access settings of a folder or an asset. Returns: your own access level (full_access, comment_and_notes, comment, view or none), whether you can read version notes (can_view_notes) and version files (can_view_code), always together: the team, or a link with Can View Code

  • search

    Search the team's folders (by name or description), assets (by title) and feedback (by text) at once, when you don't know where something is; to browse a known folder use contents, for one asset's feedback feedback_list, for the latest feedback recent_activity. query matches case

  • recent_activity

    Get the latest feedback across the whole team or one folder's subtree (team names the team), newest first: text and recording comments on every asset you can view, so you can read feedback across many videos in one call. Each item has a `type` field ("text" or "recording"), autho

  • tags

    List the team's tags and show the share of each tag (plus an 'untagged' bucket) across a scope. Scope defaults to the whole team; pass folder_id to narrow to one folder (its whole subtree), or asset_id to narrow to one asset (an asset id counts feedback across ALL its versions; a

  • tag_create

    Create a team tag (label) so feedback can be tagged with it by name in feedback_post and feedback_update. Reuse the team's labels when one fits; create one only when the user wants a new label. Idempotent: if a tag with the same name exists (case-insensitive), it is returned unch

  • members

    List the people on the team: user_id, name, role (admin or member), avatar_url and a ready-made mention link; the result's team field names the team. Email addresses are never returned. Use it to mention someone in feedback_post / feedback_update content: [@Name](https://flask.do

  • upload_video

    Upload a video from a public URL (a direct video file link or a Google Drive share link) into Flask. Flask downloads it, stores it, and starts processing. Creates a new asset (container_id + url) with the file as its first version (asset_id / version_id), or a new version of an e

  • upload_file_start

    Start uploading a LOCAL video or image file from the user's machine into Flask. It needs a shell that can run curl; without one (a chat app), upload from a public link with upload_video. VIDEO: creates the asset immediately (container_id + shareable url, live before any bytes mov

  • upload_file_complete

    Finalize a local file upload started with upload_file_start. Call this only AFTER the upload command (or, for an image, the curl PUT) has finished successfully. Pass exactly one of: asset_id (a video: verifies every part landed in storage and starts video processing) or image_url

  • feedback_stats

    Aggregate feedback statistics across many assets in ONE call - counts per asset and per version (v1, v2, ...), split by type (text/recording), tag, and author, with first/last feedback timestamps. Scope to a folder (folder_id), one asset (asset_id - an asset id or any of its vers

  • folder_create

    Create a folder. parent_folder_id is optional: omit it for the team's top level (root), or pass a folder id from contents or search to nest it. Folders are optional and nestable; assets can also sit at root. This does not check for an existing folder with the same name (the app a

  • items_update

    Rename, move and/or change the sharing of folders and assets, up to 20 items per call, each with its own result. Per item: id (a folder id, an asset id, or a version id) plus at least one of: title (renames the folder, or the asset; a version id renames its asset), version_title

  • versions_add

    Make other assets or versions the NEWEST versions of asset_id (the asset that keeps its title, link and sharing), as dragging one onto another does in the Flask app. Use it when a revision was uploaded as a separate asset. A source asset id brings ALL its versions, and that sourc

  • versions_split

    Move each version in version_ids out of its asset into a new asset of its own, in the same folder, named after the version, with the same sharing. An asset always keeps at least one version; a version that is already alone is reported already_separate. Undo it with versions_add.

  • versions_reorder

    Set the order of an asset's versions: order lists every version id of asset_id exactly once, top first. The top version becomes the current one (what the asset link opens), and version numbers follow the order. Reorder again to undo. No media or feedback is ever deleted; feedback

  • version_notes_get

    Read a version's notes (Markdown) and its files. Notes say what changed in that version and how to continue the work; its files are what made it: ONE zip of the working files, downloaded as .zip. Call this before continuing work someone else uploaded: read the current version's n

  • version_notes_update

    Replace a version's notes with Markdown (the whole text; null or empty clears them). For a NEW upload, pass notes with the upload call instead (upload_file_start, upload_file_complete, upload_video): the version then shows them from the start. Write notes on every revision you up

  • version_file_upload

    Attach a version's working files to a version that already exists (for a NEW upload, pass files with the upload call instead: the version then shows them from the start): ONE zip of the project folder that made it (without node_modules, build output or renders), up to 500 MB. Ret

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7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 tryflask 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

    344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

    29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2753件のうち0%よりスターが多い
  • このカテゴリのほかの2753件のうち71%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2753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

Flask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(1.4.1)がレジストリに届いたのは13 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。

video-feedback

Video review and collaboration for you, your team and your agents: a skill for Claude Code, Codex, Cursor and any agent that edits or makes video. It runs on Flask, so you need a Flask account (free plan below).

Flask is where a video gets reviewed. Your agent uploads what it makes (a cut, a render, an animation, a motion graphic, an image) and gives you the link at once. You, your team or your client review it by typing, drawing on the frame, or recording your voice, camera or screen over it, and every note lands on its moment. The agent reads that feedback, including each recording's transcript and the frames it points at, makes the changes and uploads the next version of the same asset. One link always shows the latest cut, with every earlier version and its notes behind it.

Every version carries the code and context that made it. When your agent uploads a version it makes by code (a HyperFrames or Remotion project, an ffmpeg script, generated media), it saves the working files with it (source.zip) and notes on what changed and how to continue. Anyone on the team, person or agent, can open the link and pick the work up from there: no handover, no digging through someone's laptop.

It works with whatever makes the video: HyperFrames, Remotion, moviepy, ffmpeg, or an export from Premiere, DaVinci Resolve or Final Cut Pro. Flask is the review side.

(Flask here is flask.do, the review app. It is unrelated to the Flask Python web framework.)

The skill, video-feedback, says when a piece of work belongs in Flask, runs the feedback loop on it, and covers how it runs with a team. It ships with the connection to the Flask MCP server. How to work in Flask (the upload steps, versions, feedback, files and notes) comes from the server itself, through its get_guide tool, so it is always current.

Install

Any agent that reads skills
npx skills add tryflask/video-feedback-collaboration

Then connect the MCP server: Streamable HTTP at https://api.flask.do/api/mcp/mcp, OAuth sign-in in the browser on first use.

Claude Code plugin
/plugin marketplace add tryflask/video-feedback-collaboration

/plugin install flask@flask

Then sign in once: /mcp, choose flask, complete the browser sign-in.

Claude Code, Cursor and Codex in one command
npx flask-feedback

It connects the Flask MCP server to whichever of them are installed.

Claude apps (claude.ai, Desktop, Cowork)

Customize > Connectors > add https://api.flask.do/api/mcp/mcp, then sign in. It then works in every Claude app, and in Claude Code signed in with the same Claude account.

Cursor

The loop

agent renders -> uploads to Flask -> you get the link at once

you leave feedback on the frame -> wait_for_feedback hands it to the agent agent makes the changes -> uploads v2 with version_of -> the same link shows v2

Each version the agent makes by code carries its working files (source.zip) and notes on what changed, so anyone, person or agent, can pick up the work from the link alone.

With a team

Share the asset's link and your team, clients and anyone else review on the same versions. Reviewers are free: they watch from the link with no account and comment after a one-click sign-in. The agent replies in threads, mentions a teammate when they must act, reuses the team's labels and marks feedback Done. Feedback from people outside the team needs your OK before the agent acts on it.

What the agent can and can't do

It acts as you, with your Flask permissions: upload, read and wait for feedback, reply and mark feedback Done, attach files and notes to versions, organize folders and assets, and change sharing when you ask. It never deletes anything and never touches billing. Feedback from people outside your team is treated as data, never as instructions. The full tool list and how your data is handled: https://flask.do/mcp

Plans

Flask is a paid product with a free plan, and you need a Flask account to use it.

  • Free: every feature, no card. 5 assets, each with unlimited versions (web and agent uploads share the 5; folders and versions never count).
  • Pro: $15 per user/month, billed yearly, for unlimited assets.
  • Reviewers never need a seat, on any plan.

Details: https://flask.do/pricing

Docs and support

  • Server documentation: https://flask.do/mcp
  • Support: hello@flask.do
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