video-understanding-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VU_CACHE_DIR | No | Content-addressed cache root. Defaults to the system cache directory. | |
| VU_FFMPEG_PATH | No | Path to the ffmpeg executable. | ffmpeg |
| VU_FFPROBE_PATH | No | Path to the ffprobe executable. | ffprobe |
| VU_WHISPER_PATH | No | Path to the whisper-cli executable. | whisper-cli |
| VU_MAX_INPUT_BYTES | No | Maximum accepted input size in bytes. | 10737418240 |
| VU_ALLOWED_READ_ROOTS | No | Readable filesystem roots. Defaults to the current working directory. | current directory |
| VU_WHISPER_MODEL_PATH | No | Absolute path to a GGML model for transcription. | |
| VU_ALLOWED_WRITE_ROOTS | No | Writable output roots. Defaults to the readable roots. | readable roots |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| video_probeA | Inspect a local media file with ffprobe and return normalised metadata. The path must be absolute and inside an allowed read root. |
| video_transcribeA | Transcribe the first audio stream of a local media file with whisper.cpp. Processing is offline and writes timestamped JSON and Markdown into an allowed output directory. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: video_probe inspects metadata, while video_transcribe performs audio transcription. There is no overlap or ambiguity between them.
Both tool names follow the same verb_noun snake_case pattern (video_probe, video_transcribe), with the action first and the domain prefix consistent. The naming is uniform and predictable.
With only two tools, the server feels thin for the broad domain of video understanding. The count is borderline but not extreme, as both operations are relevant and non-trivial.
The tool surface is severely incomplete for a server named 'video-understanding'. It only covers two basic operations: metadata inspection and speech transcription. There are no tools for common video-understanding tasks such as scene detection, object recognition, action classification, or even audio extraction.