Schema | whisper-mcp

whisper-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
transcribeA	Transcribe an audio or video file and return language info + timestamped segments. Args: path: Path to the input audio/video file. model_size: Whisper model size (tiny/base/small/medium/large-v3). device: Inference device: "auto", "cpu", or "cuda".
generate_srtA	Transcribe a file and write an .srt subtitle file next to it (or at output_path). Args: path: Path to the input audio/video file. output_path: Where to write the .srt file. Defaults to the input path with a .srt suffix. model_size: Whisper model size (tiny/base/small/medium/large-v3). device: Inference device: "auto", "cpu", or "cuda".
burn_captionsA	Burn an existing .srt subtitle file into a video, producing a new video file. Args: video_path: Path to the source video. srt_path: Path to the .srt subtitle file to burn in. output_path: Where to write the captioned video. Defaults to ".captioned".

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Chain-P/whisper-mcp'

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