Dataset to HuggingFace
Pricing
$5.00/month + usage
Dataset to HuggingFace
Transfers data from Apify datasets to Hugging Face datasets. Bridges web scraping with ML platforms, enabling access to pre-trained models and collaborative tools. Customize transfer limits, streamline ML workflows, and leverage data versioning. Ideal for data scientists and ML researchers.
0.0 (0)
Pricing
$5.00/month + usage
2
Total users
5
Monthly users
2
Runs succeeded
>99%
Last modified
9 months ago
You can access the Dataset to HuggingFace 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=flamboyant_leaf/datasettohuggingface", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Configure MCP server with Dataset to HuggingFace
You have a few options for interacting with the MCP server:
Use
mcp.apify.comviamcp-remotefrom 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=flamboyant_leaf/datasettohuggingfacealong with an API token (or use OAuth).Connect to
mcp.apify.comvia Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=flamboyant_leaf/datasettohuggingface", "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.
