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Text Classifier with ChatGPT

Deprecated

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$4.99 / 1,000 results

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Text Classifier with ChatGPT

Text Classifier with ChatGPT

Deprecated

Developed by

jonas

jonas

Maintained by Community

Classify text automatically in your own specific categories. Text Classifier is a powerful tool that leverages OpenAI's API to classify text into categories. Simply define your categories and the texts will be classified into those using the OpenAI API to make the GPT magic happen.

0.0 (0)

Pricing

$4.99 / 1,000 results

0

Total users

1

Monthly users

1

Last modified

a year ago

You can access the Text Classifier with ChatGPT 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=quenchless_time/textclassifier",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Text Classifier with ChatGPT

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=quenchless_time/textclassifier 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=quenchless_time/textclassifier",
"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.