Skip to main content
Glama
javidjamae

@ffmpeg-micro/mcp-server

by javidjamae

Transcribe Audio

transcribe_audio

Generate SRT subtitles from an audio or video URL using Whisper. Poll for completion to get the subtitle file for burning into videos.

Instructions

Generate an SRT subtitle file from an audio or video URL using Whisper. Returns a queued job envelope immediately — poll with get_transcribe until status is completed, then fetch the signed SRT URL with get_transcribe_download. The SRT URL can be dropped directly into a transcode's subtitles='<url>' filter to burn captions into a video.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNo'transcribe' keeps the source language; 'translate' outputs English regardless of source. Defaults to 'transcribe'.
languageNoOptional BCP-47 language hint (e.g. 'en', 'es'). Auto-detected when omitted.
media_urlYesAudio or video URL to transcribe. gs://bucket/object (preferred, from the upload flow) or a public https:// URL.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses async nature (returns queued job envelope) and required polling. It doesn't cover error handling, rate limits, or file size constraints. Without annotations, this is good but not exhaustive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with primary action. No wasted words; every sentence provides essential workflow information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description covers the async process, polling workflow, download URL, and integration with transcode. Sufficient for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% of parameters. The description adds value by mentioning 'Whisper' and specifying preferred URL format (gs:// vs https://) beyond schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it generates SRT subtitles from audio/video URL using Whisper. It distinguishes from sibling tools by detailing the polling and download process, and mentions integration with transcode.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit instructions on when to use the tool: poll with `get_transcribe` for completion, fetch download URL with `get_transcribe_download`, and use SRT URL in transcode's subtitles filter. This clearly differentiates usage from alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/javidjamae/ffmpeg-micro-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server