Connection check
verified live · 26h ago
flask
Feedback layer for video. Reviewers talk through feedback; agents read it as structured comments.
Tools
17
GitHub stars
—
Installs / wk
26
Licence
—
Transport
streamable-http, stdio
Last checked
26h ago
Tools & capabilities
17 toolsRead from the running server on 26h ago.
asset_status
read-only
asset_id*
Check the processing status of a video asset. Returns progress percentage for videos being processed, or confirms the asset is ready. Check the processing status of a video asset. Returns progress percentage for videos being processed, or confirms the asset is ready.
contents
read-only
limitoffsetfolder_id
Browse contents. Without folder_id: lists what's at the team's top level (root) — both folders and assets that live directly at root. With folder_id: opens that folder and returns… Browse contents. Without folder_id: lists what's at the team's top level (root) — both folders and assets that live directly at root. With folder_id: opens that folder and returns its child folders and assets (videos/media). Each item includes its URL.
feedback_get
read-only
element_id*
Get a single feedback item with its full reply thread. Returns the item's text body (for recordings: the AI-organized feedback), tags (by name), author, video timestamp, the record… Get a single feedback item with its full reply thread. Returns the item's text body (for recordings: the AI-organized feedback), tags (by name), author, video timestamp, the recording's full verbatim transcript, visual_references (the pointing phrases - "this", "over here" - with the recording time each was spoken; feed them to get_frame to see what was being pointed at), visual attachments (images / has_drawing - render them with get_annotated_frames), and all nested replies.
feedback_list
read-only
limitoffsetasset_id*
List top-level feedback on an asset. Returns each item's text body, tags (by name), author, timestamp, and reply_count. Recording items are ONE comment per recording: the text body… List top-level feedback on an asset. Returns each item's text body, tags (by name), author, timestamp, and reply_count. Recording items are ONE comment per recording: the text body is the AI-organized feedback, and the recording object adds the full verbatim transcript plus visual_references (the pointing phrases with the recording time each was spoken). Items with visual attachments carry images (attached image files) and/or has_drawing: true (a drawing made on the asset) - call get_annotated_frames to see them. Use feedback_get to read full reply threads.
feedback_post
tagscontent*asset_id*reply_totimestamp
Create a feedback comment on an asset, as the connected user. PREFER passing timestamp (seconds into the video) whenever the source material has one - e.g. when importing feedback… Create a feedback comment on an asset, as the connected user. PREFER passing timestamp (seconds into the video) whenever the source material has one - e.g. when importing feedback from an email like 'at 0:42 the logo is wrong', convert 0:42 to 42. Without timestamp the comment is a general (non-anchored) note. tags applies the team's EXISTING tags by name (see the tags tool); statuses are tags too. Use reply_to to reply in an existing thread. Cannot attach recordings, drawings, or images.
feedback_stats
read-only
tofromasset_idfolder_id
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 feed… 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 or version stack (asset_id), or the whole team; narrow the time window with from/to. Use this for trend questions like 'are v1 notes going down across this client's recent videos' or 'what tags dominate this folder' instead of calling feedback_list per asset. For reading the feedback text itself across assets, use recent_activity.
feedback_update
can modify data
contentadd_tagstimestampelement_id*remove_tags
Edit an existing feedback item. content (replaces the text) and timestamp (video time in seconds) can only be changed on the connected user's OWN comments. add_tags / remove_tags a… Edit an existing feedback item. content (replaces the text) and timestamp (video time in seconds) can only be changed on the connected user's OWN comments. add_tags / remove_tags apply the team's existing tags by NAME and work on ANY feedback item you can comment on (labels and statuses are collaborative - e.g. add the 'Done' tag to mark feedback resolved). Provide at least one of content, timestamp, add_tags, remove_tags.
get_annotated_frames
read-only
element_id*
Supplementary visuals for a feedback item. For recording items: the media under review with the reviewer's drawing rendered in, plus their shared SCREEN when they demonstrated some… Supplementary visuals for a feedback item. For recording items: the media under review with the reviewer's drawing rendered in, plus their shared SCREEN when they demonstrated something (e.g. a Photoshop/Figma mockup); webcam frames are NOT included, and the transcript is returned marked [FRAME N]. Also works for text comments that carry visuals: a standalone drawing (has_drawing: true) is rendered onto the frame it was drawn over, and attached images (images array) are returned as frames. If a visual reference is still unclear, call get_frame to drill into a specific moment (at) or spoken word/phrase (word). Returns up to 12 images.
get_frame
read-only
atwordsourceelement_id*
Drill into a recording for MORE visual detail: get the exact frame at a specific time (at) or when a specific word/phrase was spoken (word). Use when get_annotated_frames did not s… Drill into a recording for MORE visual detail: get the exact frame at a specific time (at) or when a specific word/phrase was spoken (word). Use when get_annotated_frames did not show what a reference ('this','here','that') means, or to see a moment the transcript mentions. Returns the asset frame at that moment (plus the active shared screen, if any) and a transcript snippet around it.
permission_get
read-only
limitoffsetfolder_id*
See who has access to a folder and their permission levels (full_access, comment, view, none). Returns team members with their roles, plus link and team-member default access level… See who has access to a folder and their permission levels (full_access, comment, view, none). Returns team members with their roles, plus link and team-member default access levels.
recent_activity
read-only
limitsinceuntiloffsetfolder_id
Get the latest comments across your team, newest first. Returns a mix of text and recording comments with author, timestamp, and a link to jump into the conversation. Each item has… Get the latest comments across your team, newest first. Returns a mix of text and recording comments with author, timestamp, and a link to jump into the conversation. Each item has a `type` field ("text" or "recording") plus the asset it belongs to and its version number, so you can read feedback across many videos in one call. Scope with folder_id to read one client's/project's feedback, narrow the window with since/until, and page with offset. For counts and trends use feedback_stats instead.
search
read-only
limitquery*
Search across your team's folders, assets, and feedback by text. Always returns all three categories together. Search across your team's folders, assets, and feedback by text. Always returns all three categories together.
tags
read-only
asset_idfolder_id
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, or asset_i… 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, or asset_id to narrow to one asset. Shares are count_with_tag / total_elements and do NOT sum to 100% because elements can carry multiple tags.
upload_file_complete
asset_id*version_of
Finalize a local file upload started with upload_file_start. Call this only AFTER the curl PUT has finished successfully. Verifies the file landed in storage and starts video proce… Finalize a local file upload started with upload_file_start. Call this only AFTER the curl PUT has finished successfully. Verifies the file landed in storage and starts video processing. Safe to retry.
upload_file_start
titlefile_size*folder_idversion_ofcontent_type
Start uploading a LOCAL video file from the user's machine into Flask. Returns the shareable Flask link immediately, plus a presigned upload URL. After calling this, upload the fil… Start uploading a LOCAL video file from the user's machine into Flask. Returns the shareable Flask link immediately, plus a presigned upload URL. After calling this, upload the file bytes with the curl command from next_step, then call upload_file_complete. folder_id is OPTIONAL: omit it to upload to the team's top level (root). Max file size 5GB. Free to use for up to 100 MCP uploads; beyond that the user needs a plan at https://flask.do/plan. You still need edit access on the folder if one is given.
upload_video
titlefolder_idvideo_url*version_of
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. Returns the new asset_id… 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. Returns the new asset_id — poll asset_status(asset_id) until status is "ready" before linking to it. folder_id is OPTIONAL: omit it to upload to the team's top level (root). Free to use for up to 100 MCP uploads; beyond that the user needs a plan at https://flask.do/plan. You still need edit access on the folder if one is given. For a LOCAL file on disk, use upload_file_start instead.
wait_for_feedback
read-only
sinceasset_id*timeout_seconds