Which integrations are available for this server?

Provides tools for uploading videos, browsing assets, and managing feedback (recorded video commentary with transcripts) on the Flask platform, enabling an iterative video review loop. Allows importing videos directly from Google Drive links via the upload_video tool.

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:

npx flask-feedback

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

Claude 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:

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):

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)

Related MCP server: Lens

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

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