MCP FFmpeg Helper
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_video_infoC | Get detailed information about a video file |
| convert_videoC | Convert a video file to a different format |
| extract_audioC | Extract audio from a video file |
| create_video_from_imagesC | Create a video from a sequence of images |
| trim_videoC | Trim a video to a specific duration |
| add_watermarkC | Add a watermark to a video |
| trim_audioC | Trim an audio file to a specific duration |
| extract_framesC | Extract frames from a video as sequential image files |
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 8 tools
Each tool has a clearly distinct purpose with no overlap. For example, add_watermark modifies video content, convert_video changes format, create_video_from_images builds new video, extract_audio/ extract_frames extract different media types, get_video_info provides metadata, and trim_audio/ trim_video handle trimming of different file types. The descriptions make it easy to differentiate between all tools.
All tool names follow a consistent verb_noun pattern using snake_case, such as add_watermark, convert_video, extract_audio, and trim_video. This predictable naming convention makes the tool set easy to navigate and understand, with no deviations in style or structure.
With 8 tools, this server is well-scoped for video and audio processing tasks. Each tool serves a specific, useful function in the FFmpeg domain, such as conversion, extraction, trimming, and information retrieval, without being overly sparse or bloated.
The tool set covers core FFmpeg operations like conversion, trimming, extraction, and watermarking, with good coverage for video and audio workflows. A minor gap is the lack of tools for advanced editing (e.g., merging videos, adjusting filters), but agents can likely work around this with existing tools for basic processing needs.