Use Hugging Face with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Access thousands of pre-trained AI models for NLP, vision, and audio tasks with the largest open-source machine learning hub.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 15 capabilities
The complete Hugging Face capability set.
These are the exact actions your AI can choose when you ask it to work with Hugging Face.
01-04
4 capabilities in this set.
Part of 15 available through Hugging Face.
- 01
Run summarization
Summarize text
- 02
Run inference
Run model inference
- 03
Run text classification
Classify text
- 04
Get space
Get Space details
05-08
4 capabilities in this set.
Part of 15 available through Hugging Face.
- 05
List collections
List curated collections
- 06
List datasets
Search datasets
- 07
List models
Search models on Hugging Face Hub
- 08
List models by author
List models by author
09-12
4 capabilities in this set.
Part of 15 available through Hugging Face.
- 09
List models by task
) sorted by downloads. List models by task
- 10
List spaces
Search Spaces
- 11
Run text generation
Generate text with a model
- 12
Check hf status
Verify API connectivity
13-15
3 capabilities in this set.
Part of 15 available through Hugging Face.
- 13
Get account
Get account info
- 14
Get dataset
Get dataset details
- 15
Get model
Get model details
Observed, not estimated
905ms average. Fast in production.
Hugging Face is checked daily against the live service.
- Fastest day
- 777ms
- Slowest day
- 1185ms
- 14-day trend
- Improving-14%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 15 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Hugging Face, so you can see the experience inside your AI.
It does not authenticate your account with Hugging Face. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Hugging Face Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_xAlB3RIV4hRBFELH56Jcflb4rJWI2Wa664OkY3XX/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Hugging Face capabilities are ready to use.
{
"mcpServers": {
"hugging-face-alternative-mcp": {
"url": "https://edge.vinkius.com/vk_preview_xAlB3RIV4hRBFELH56Jcflb4rJWI2Wa664OkY3XX/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Hugging Face owners ask.
- 01
Can my AI run inference on Hugging Face models?
Yes. Use run_inference, run_text_generation, run_text_classification, or run_summarization to send input to any hosted model and get results instantly.
- 02
How do I find the best model for a task?
Use list_models_by_task with a pipeline tag like 'text-generation' or 'image-classification'. Results are sorted by downloads so the most popular appear first.
- 03
Can I browse datasets and Spaces?
Yes. list_datasets and list_spaces let you search by keyword, and get_dataset / get_space return full metadata.
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