Schema | Whissle MCP Server

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
`WHISSLE_AUTH_TOKEN`	Yes	Your Whissle API authentication token (required)
`WHISSLE_MCP_BASE_PATH`	No	Base directory for file operations (optional, defaults to user's Desktop)	user's Desktop

Capabilities

Features and capabilities supported by this server

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

Tools

Functions exposed to the LLM to take actions

Name	Description
speech_to_text	Convert speech to text with a given model and save the output text file to a given directory. Directory is optional, if not provided, the output file will be saved to $HOME/Desktop. ⚠️ COST WARNING: This tool makes an API call to Whissle which may incur costs. Only use when explicitly requested by the user. Args: audio_file_path (str): Path to the audio file to transcribe model_name (str, optional): The name of the ASR model to use. Defaults to "en-NER" timestamps (bool, optional): Whether to include word timestamps boosted_lm_words (List[str], optional): Words to boost in recognition boosted_lm_score (int, optional): Score for boosted words (0-100) output_directory (str, optional): Directory where files should be saved. Defaults to $HOME/Desktop if not provided. Returns: TextContent with the transcription and path to the output file.
diarize_speech	Convert speech to text with speaker diarization and save the output text file to a given directory. Directory is optional, if not provided, the output file will be saved to $HOME/Desktop. ⚠️ COST WARNING: This tool makes an API call to Whissle which may incur costs. Only use when explicitly requested by the user. Args: audio_file_path (str): Path to the audio file to transcribe model_name (str, optional): The name of the ASR model to use. Defaults to "en-NER" max_speakers (int, optional): Maximum number of speakers to identify boosted_lm_words (List[str], optional): Words to boost in recognition boosted_lm_score (int, optional): Score for boosted words (0-100) output_directory (str, optional): Directory where files should be saved. Defaults to $HOME/Desktop if not provided. Returns: TextContent with the diarized transcription and path to the output file.
translate_text	Translate text from one language to another. `⚠️ COST WARNING: This tool makes an API call to Whissle which may incur costs. Only use when explicitly requested by the user. Args: text (str): The text to translate source_language (str): Source language code (e.g., "en" for English) target_language (str): Target language code (e.g., "es" for Spanish) Returns: TextContent with the translated text.`
summarize_text	Summarize text using an LLM model. `⚠️ COST WARNING: This tool makes an API call to Whissle which may incur costs. Only use when explicitly requested by the user. Args: content (str): The text to summarize model_name (str, optional): The LLM model to use. Defaults to "openai" instruction (str, optional): Specific instructions for summarization Returns: TextContent with the summary.`
list_asr_models	List all available ASR models and their capabilities.

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Whissle MCP Server

Server Configuration

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Tools

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