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Flask

von tryflaskVersion 1.4.1i★ –iLäuft in der Cloud
Name in der Registryio.github.tryflask/flask

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

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

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: Läuft in der Cloud
  • Transport: Streamable HTTP
  • Kategorie: Design, Bilder & Audio

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

Du brauchst

Welche App nutzt du?

Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.

Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:

  1. Öffne Settings → Connectors
  2. Tippe auf Add custom connector
  3. Füge die Adresse unten ein und tippe auf Add
  4. Wenn eine Anmeldung verlangt wird, melde dich beim Dienst des Entwicklers an
SettingsConnectors1+ Add2https://…3
https://api.flask.do/api/mcp/mcp

Führe das in deinem Terminal aus

claude mcp add --transport http flask https://api.flask.do/api/mcp/mcp

In Cursor öffnen

Oder kopier die Einstellungen selbst

In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen

{
  "mcpServers": {
    "flask": {
      "url": "https://api.flask.do/api/mcp/mcp"
    }
  }
}

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

In VS Code öffnen

Oder kopier die Einstellungen selbst

In .vscode/mcp.json in deinem Projekt einfügen

{
  "servers": {
    "flask": {
      "type": "http",
      "url": "https://api.flask.do/api/mcp/mcp"
    }
  }
}

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

ChatGPT verbindet sich nur mit Servern im Internet:

  1. Öffne ChatGPT im Web → Settings → Connectors (Apps)
  2. Tippe auf Create oder Add (bei manchen Tarifen musst du zuerst Developer mode unter Advanced einschalten)
  3. Füge die Adresse unten ein, gib ihr einen Namen und speichere
  4. Wenn eine Anmeldung verlangt wird, melde dich beim Dienst des Entwicklers an
SettingsConnectors1+ Create2https://…3
https://api.flask.do/api/mcp/mcp

Menünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Was er kann

Tool-Namen und -Beschreibungen genau so, wie der Server sie am 7. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.

  • 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

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto tryflask bestätigt, dem das Repo gehört

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • ✓ Bestanden

    Endpunkt antwortet

    Antwort in 344 ms (HTTP 200)

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Keine Anmeldung nötig

  • ✓ Bestanden

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Wir haben 29 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden

Im Vergleich mit anderen in Design, Bilder & Audioi

  • Mehr Sterne als 0 % der anderen 2753 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 71 % der anderen 2753 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 2753 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist Flask sicher?

Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.4.1) kam vor 13 Tagen in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.

Was kann ich stattdessen nutzen?

In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

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

Läuft auf deinem Computer★ 16.165MITAktualisiert vor 5 Monaten
Installieren

Claude Real Video

von HUANGCHIHHUNGLeo

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

Läuft auf deinem Computer★ 2.284MITAktualisiert vor 2 Monaten
Installieren

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

Läuft in der Cloud★ 2.152Aktualisiert vor 13 Monaten
Installieren

README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

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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