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Transcribe

Transcribes audio and video, labels speakers, creates subtitles and clips, and supports cited question answering.

Install Transcribe

Pick your client, then add it in one click or paste the config.

No confirmed install command yet

We only publish a config when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Transcribe, and we’d rather show nothing than a guess you’d paste into your client.

Open the project’s setup instructions

Overview

Transcribe MCP server turns audio and video into speaker-labelled transcripts, subtitles, clips, and cited Q&A results. The available description identifies the output types but does not specify the transport, installation process, authentication, or individual tool names. Reach for it when an agent needs to work with recorded media and produce structured transcription-related results.

Use cases

  • Transcribe recorded audio or video
  • Generate speaker-labelled transcripts
  • Create subtitles from media
  • Produce clips from recordings
  • Answer questions with citations

Key features

  • Audio and video transcription
  • Speaker-labelled transcripts
  • Subtitle generation
  • Clip creation
  • Cited question answering

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

5/5 checks healthy over the last 38d

How Transcribe works

What the Transcribe MCP server does

Transcribe MCP server is intended for working with audio and video through the Transcribe service. Its documented outputs include transcripts with speaker labels, subtitles, clips, and answers that include citations. That makes it relevant to workflows where an agent needs to process recorded media and return more than unstructured text.

The available project information does not describe supported media formats, maximum file sizes, language coverage, diarization behavior, timestamp handling, or export formats. Those details should be confirmed in the product documentation before adopting the server for a production pipeline.

Tools and capabilities

The listed capabilities cover five related tasks:

  • Transcribing audio and video
  • Identifying or labeling speakers in transcripts
  • Producing subtitles from recorded media
  • Creating clips from audio or video
  • Answering questions with citations

The source description does not provide formal tool names, input schemas, output schemas, or examples.

A developer evaluating the Transcribe MCP server should distinguish between the stated result types and undocumented implementation details. Speaker-labelled transcripts indicate that speaker information can be included in the transcript output, while cited Q&A indicates that answers can reference supporting material. The description does not explain how citations are represented or how clips are selected.

Limitations and notes

No verified setup command, package name, configuration file, environment variable, authentication method, license, or supported MCP client is provided. Client compatibility is therefore unspecified rather than confirmed.

Confirm those requirements against the linked developer documentation.

No claims can be made here about local processing, hosted processing, streaming, batch jobs, retention, privacy, cost, rate limits, or reliability. These operational characteristics are important when handling sensitive recordings and should be checked before deployment.

Reviews

No reviews yet — be the first to share how it worked for you.

Frequently Asked Questions about Transcribe

Transcribe is an MCP server that connects agents to Transcribe for processing audio and video. Its documented capabilities include generating speaker-labelled transcripts and subtitles, creating clips, and answering questions with citations.

Check the Transcribe developer documentation for the package, launch command, transport, configuration, and authentication steps before attempting setup.

No supported MCP clients are named, so verify the Transcribe documentation and the required MCP transport before configuring it in Cursor.

It can produce speaker-labelled transcripts, subtitles, clips, and cited question-answer results from audio and video.

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