Text-to-Speech Generator (OpenAI voice generator) avatar
Text-to-Speech Generator (OpenAI voice generator)

Pricing

$6.00/month + usage

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Text-to-Speech Generator (OpenAI voice generator)

Text-to-Speech Generator (OpenAI voice generator)

Developed by

Stan Van Rooy

Stan Van Rooy

Maintained by Community

Convert text to speech effortlessly with our OpenAI voice generator. Choose from 6 English-optimized voices, customize settings, and get high-quality audio files fast. Simple to use, integrates with your OpenAI API key.

5.0 (1)

Pricing

$6.00/month + usage

0

Total users

1

Monthly users

1

Last modified

2 days ago

You can access the Text-to-Speech Generator (OpenAI voice generator) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=stanvanrooy6/text-to-speech-generator-openai-voice-generator",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Text-to-Speech Generator (OpenAI voice generator)

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=stanvanrooy6/text-to-speech-generator-openai-voice-generator along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=stanvanrooy6/text-to-speech-generator-openai-voice-generator",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.