Flask

Feedback layer for video. Reviewers talk through feedback; agents read it as structured comments.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "flask": {
      "command": "npx",
      "args": [
        "-y",
        "flask"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Flask plugin for Claude Code

Flask is the feedback layer for video, built for the agentic loop: your agent uploads a render and shares the link instantly. The reviewer doesn't type - they hit record and talk through the video (voice, camera, screen, drawing on frames), and Flask turns the recording into structured, timestamped comments with transcripts. The agent reads that feedback and iterates, pushing each revision as a new version of the same asset. Typed comments work too - recordings are the advantage, not a requirement.

This plugin connects the Flask MCP server and teaches the agent the full review loop.

Install

One command connects the Flask MCP server (Claude Code, Cursor) and installs the review-loop skill for any agent that reads skills:

Terminal

npx flask-feedback

Prefer to wire things yourself? Per-client instructions below.

Claude Code

Code

/plugin marketplace add tryflask/skills
/plugin install flask@flask

Then authenticate once: /mcp -> flask -> complete the browser sign-in.

No plugin manager? Connect the MCP server directly:

Terminal

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

Cursor, Codex, and other agents

Install the review-loop skill (works across skills-compatible clients):

Terminal

npx skills add tryflask/skills

Then connect the MCP server:

Cursor:
claude.ai / Claude Desktop: Settings -> Connectors -> add https://api.flask.do/api/mcp/mcp
Any MCP client: Streamable HTTP at https://api.flask.do/api/mcp/mcp (OAuth sign-in opens in the browser on first use)

What the agent can do

Tool	What it does
`contents`, `search`, `recent_activity`	Browse folders/assets, search, latest team feedback
`feedback_list`, `feedback_get`	Read feedback with tags, timestamps, recording transcripts (`transcript: "full"` for whole recording)
`wait_for_feedback`	Long-poll - returns new feedback the moment it's left
`get_annotated_frames`	Returns the video frames a recording pointed at / drew on, as images with the drawing rendered in, plus the transcript marked `[FRAME N]` - resolves "this"/"here"/drawn-circle references to actual pixels
`upload_file_start` / `upload_file_complete`	Upload a local video (5GB max) via presigned URL; share link available the instant the upload starts
`upload_video`	Import from a public URL or Google Drive link
`version_of` (param on uploads)	Upload as a new version of an existing asset - one stable link for the whole iteration
`asset_status`, `tags`, `permission_get`	Processing status, tag distribution, folder access

The server is read-only except for uploads - it can never edit or delete anything.

The loop in practice

Code

agent renders video -> upload_file_start -> user gets flask.do link instantly
user records feedback on the video -> wait_for_feedback returns it (transcribed)
agent implements changes -> uploads v2 with version_of -> same link shows v2

Docs and support

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

This repo is kept in sync with the MCP server. Tool list and behavior described here mirror https://flask.do/mcp, which is the source of truth.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Flask

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "flask": { "command": "npx", "args": ["-y", "flask"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

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MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Flask →Install in Claude Desktop Install in Cursor Install in VS Code

Flask

Feedback layer for video. Reviewers talk through feedback; agents read it as structured comments.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "flask": {
      "command": "npx",
      "args": [
        "-y",
        "flask"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Flask plugin for Claude Code

This plugin connects the Flask MCP server and teaches the agent the full review loop.

Install

One command connects the Flask MCP server (Claude Code, Cursor) and installs the review-loop skill for any agent that reads skills:

Terminal

npx flask-feedback

Prefer to wire things yourself? Per-client instructions below.

Claude Code

Code

/plugin marketplace add tryflask/skills
/plugin install flask@flask

Then authenticate once: /mcp -> flask -> complete the browser sign-in.

No plugin manager? Connect the MCP server directly:

Terminal

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

Cursor, Codex, and other agents

Install the review-loop skill (works across skills-compatible clients):

Terminal

npx skills add tryflask/skills

Then connect the MCP server:

Cursor:
claude.ai / Claude Desktop: Settings -> Connectors -> add https://api.flask.do/api/mcp/mcp
Any MCP client: Streamable HTTP at https://api.flask.do/api/mcp/mcp (OAuth sign-in opens in the browser on first use)

What the agent can do

Tool	What it does
`contents`, `search`, `recent_activity`	Browse folders/assets, search, latest team feedback
`feedback_list`, `feedback_get`	Read feedback with tags, timestamps, recording transcripts (`transcript: "full"` for whole recording)
`wait_for_feedback`	Long-poll - returns new feedback the moment it's left
`get_annotated_frames`	Returns the video frames a recording pointed at / drew on, as images with the drawing rendered in, plus the transcript marked `[FRAME N]` - resolves "this"/"here"/drawn-circle references to actual pixels
`upload_file_start` / `upload_file_complete`	Upload a local video (5GB max) via presigned URL; share link available the instant the upload starts
`upload_video`	Import from a public URL or Google Drive link
`version_of` (param on uploads)	Upload as a new version of an existing asset - one stable link for the whole iteration
`asset_status`, `tags`, `permission_get`	Processing status, tag distribution, folder access

The server is read-only except for uploads - it can never edit or delete anything.

The loop in practice

Code

agent renders video -> upload_file_start -> user gets flask.do link instantly
user records feedback on the video -> wait_for_feedback returns it (transcribed)
agent implements changes -> uploads v2 with version_of -> same link shows v2

Docs and support

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

This repo is kept in sync with the MCP server. Tool list and behavior described here mirror https://flask.do/mcp, which is the source of truth.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Flask

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "flask": { "command": "npx", "args": ["-y", "flask"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/flask?style=directory)](https://allmcps.com/mcp/flask)

HTML Embed

<a href="https://allmcps.com/mcp/flask"><img src="https://allmcps.com/api/badge/flask?style=directory" alt="Flask on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Flask →Install in Claude Desktop Install in Cursor Install in VS Code