large-text-to-speech

aigeon-ai/large-text-to-speech

3.8

large-text-to-speech is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

If you are the rightful owner of large-text-to-speech and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The Large Text to Speech MCP server is designed for large-scale text-to-speech synthesis, handling extensive text volumes for high-quality audio conversion.

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MCPHub score:3.78

Has a README

Github repo has a README.md.

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AI Evaluation Report
Total Score: 2/10

The agent consistently failed to perform the text-to-speech conversion tasks due to 'Bad request' errors, indicating a lack of proper handling of input parameters or format required by the text-to-speech service. The agent's inability to successfully complete any of the tasks suggests a significant limitation in its functionality or integration with the service. There is no evidence of strengths as the agent did not provide any valid outputs or demonstrate successful task completion.

  • Test case 1
    Score: 6/10
    Perform the operation of converting the following text into speech using a text-to-speech service that supports multiple languages: 'Hello, how are you today?' in English, 'Hola, ¿Cómo estás hoy?' in Spanish, and 'Bonjour, comment ça va aujourd'hui?' in French. Provide the resulting audio files for each language.

    No valid answer is generated due to invalid input. The text-to-speech service returned 'Bad request' errors, indicating issues with the input provided for the conversion. It seems the tool requires specific parameters for the text-to-speech job, such as the text content and the language, which were not correctly specified.

  • Test case 2
    Score: 6/10
    Perform the operation of converting the following text into speech using a text-to-speech service that supports multiple languages: 'Guten Tag, wie geht es Ihnen heute?' in German, 'Buongiorno, come stai oggi?' in Italian, and 'こんにちは、今日はどうですか?' in Japanese. Provide the resulting audio files for each language.

    No valid answer is generated due to invalid input. The attempt to convert the provided texts into speech using the text-to-speech service encountered a 'Bad request' error. This may be due to issues with the specific input format or parameters required by the service. Please check the API documentation for the correct usage or consider modifying the input accordingly.

  • Test case 3
    Score: 6/10
    Perform the operation of converting the following text into speech using a text-to-speech service that supports multiple languages: 'Good morning, have a great day!' in English, 'Buenos días, ¡que tengas un gran día!' in Spanish, and 'Guten Morgen, hab einen tollen Tag!' in German. Provide the resulting audio files for each language.

    No valid answer is generated due to invalid input. The text-to-speech service encountered a 'Bad request' error for all attempts to convert the provided text into speech. This may be due to invalid input or the need for specific parameters that were not provided.

  • Test case 4
    Score: 6/10
    Perform the operation of converting the following text into speech using a text-to-speech service: 'The quick brown fox jumps over the lazy dog.' Provide the resulting audio file.

    No valid answer is generated due to invalid input. The request to convert text to speech failed due to a 'Bad request.' Please ensure that the input format and parameters meet the requirements specified in the API documentation.

  • Test case 5
    Score: 6/10
    Perform the operation of converting the following text into speech using a text-to-speech service: 'Welcome to the future of technology. Embrace innovation and drive progress.' Provide the resulting audio file.

    No valid answer is generated due to invalid input. The text-to-speech conversion could not be completed due to a 'Bad request' error. Please ensure the input format is correct or check the provided API link for more information.