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WhissleAI

Whissle MCP Server

by WhissleAI
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Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
speech_to_textA

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_speechA

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_textA

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_textA

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_modelsB

List all available ASR models and their capabilities.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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