Skip to main content
Glama

Server Details

Video review and collaboration for teams and agents: a full review interface for agentic video and motion graphics, feedback by voice, screen and drawing on the frame, agents that iterate version by version, and every version's notes and source files saved for the team.

Ownership verified

The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.

If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.

Status
Unhealthy
Uptime
0.0% over the last 24 hours
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL
Repository
tryflask/video-feedback-collaboration
GitHub Stars
0
Server Listing
Flask
ChatGPT
–
Claude
–

TDQS

A4.1/5.0

Scored across 29 tools

Disambiguation4/5

Most tools map to clearly distinct resources and actions, and the descriptions explicitly disambiguate adjacent operations such as feedback_list vs recent_activity and get_annotated_frames vs get_frame. However, with 29 tools there are several neighboring feedback, upload, and version operations that still require careful reading, so a few boundaries could be confused.

Naming Consistency3/5

All names use snake_case, but the convention is mixed: resource_action (feedback_post, folder_create), action_resource (get_frame, upload_video), and bare nouns (contents, tags, search) all appear. This remains readable, but there is no single predictable naming pattern across the set.

Tool Count2/5

At 29 tools, the surface exceeds the typical 3-15 range and the 25+ heavy threshold. The domain is complex enough to justify many tools, but specialized operations like get_guide, versions_reorder, versions_split, and separate upload_start/complete calls make the set heavy for routine agent selection.

Completeness4/5

The set covers the core review workflow well: browsing, search, uploads, processing status, versions, notes and files, feedback CRUD, annotations, tags, permissions, and sharing. The main gap is the absence of deletion operations for assets, folders, feedback, and tags, but deletion is not central to the described review workflow.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Lets AI agents read frame-accurate video review notes — timestamps, frames, annotations, and pointing targets tied to source elements — so they can fix rendered videos and re-check the results. Supports listing reviews, retrieving annotated frames, watching for new feedback, acknowledging, replying, resolving, dismissing, and leaving their own critique notes.
      13 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to build and edit a real video timeline — cuts, text, shapes, keyframes, captions and music — in a live studio the user can watch and edit alongside, rendering actual frames so the agent can verify its own work instead of guessing. Finishes by exporting an MP4 or carrying the timeline into DaVinci Resolve, Premiere Pro, CapCut or Remotion.
      2
      MIT
    Try in Browser

    Glama MCP Gateway

    Add one secure layer between your agents and this server.