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Whisper Transcribe

Transcribe audio locally with faster-whisper or through the OpenAI Whisper API.

Connector by ZahiriNatZuke · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/zahirinatzuke-whisper-transcribe-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Transcribe audio locally with faster-whisper or through the OpenAI Whisper API.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 26, 2026.

Tools
1 read · 0 write · 0 delete · 2 not yet classified
Secrets
1 (API keys, tokens or passwords)
Install scripts
None found
Runs as
Python package

Tools by what they do 3

Read from the source code; the running server may list different tools.

Read 1 · Look things up without changing anything.

  • list_models

Not yet classified 2 · We could not tell from the name and description.

  • transcribe_base64
  • transcribe_file

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • OPENAI_API_KEY

Other settings (environment variables or headers).

  • WHISPER_MODEL
  • WHISPER_POST_PROCESS_MODEL

Network hosts it talks to 2

  • github.com · found in code
  • glama.ai · found in code

Files it touches

  • Any path the agent passes to its tools

Tools (3)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • list_models

    List available Whisper model sizes and current configuration.

  • transcribe_base64

    Transcribe audio provided as a base64-encoded string. Args: audio_base64: Base64-encoded audio data. extension: Audio format of the data (mp3, wav, m4a, ogg, flac, webm, mp4, etc.). language: Language code. Auto-detected if not provided. model_size: Local model size. Ignored when using the OpenAI backend. post_process: If True, passes the transcription through GPT to fix spelling, grammar, and punctuation. Requires the openai package. post_process_prompt: Custom system prompt for post-processing. Use this to provide domain-spe…

  • transcribe_file

    Transcribe an audio file to text. Args: file_path: Absolute path to the audio file (mp3, wav, m4a, ogg, flac, etc.) language: Language code (e.g. 'es', 'en', 'fr'). Auto-detected if not provided. model_size: Local model size: tiny, base, small, medium, large-v3 (plus the .en, turbo, and distil variants). Ignored when using the OpenAI backend. Defaults to the WHISPER_MODEL environment variable (default: 'base'). post_process: If True, passes the transcription through GPT to fix spelling, grammar, and punctuation. Requires the op…

Signals

Stars
0
Forks
0
Open issues
0
Weekly downloads
100
Last commit
Sep 30, 2026 (1 month ago)
Last release
Sep 22, 2026 (1 month ago)
Last package publish
Sep 22, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.ZahiriNatZuke/whisper-transcribe-mcp
Version
1.1.3
Auth
API key
Packages
pypi whisper-transcribe-mcp
License
MIT
Repository
github.com/ZahiriNatZuke/whisper-transcribe-mcp
Website
github.com/ZahiriNatZuke/whisper-transcribe-mcp
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql

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Whisper Transcribe MCP server. Agent Mart. https://agentmart.dev/connectors/zahirinatzuke-whisper-transcribe-mcp (last updated 2026-10-24)