ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

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.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 15 available through Hugging Face.

  1. 01

    List spaces

    Search Spaces

  2. 02

    Run inference

    Run model inference

  3. 03

    List models

    Search models on Hugging Face Hub

  4. 04

    Run summarization

    Summarize text

Capability set02 / 04

05-08

4 capabilities in this set.

Part of 15 available through Hugging Face.

  1. 05

    Check hf status

    Verify API connectivity

  2. 06

    Get account

    Get account info

  3. 07

    Get model

    Get model details

  4. 08

    Get space

    Get Space details

Capability set03 / 04

09-12

4 capabilities in this set.

Part of 15 available through Hugging Face.

  1. 09

    List models by task

    ) sorted by downloads. List models by task

  2. 10

    Get dataset

    Get dataset details

  3. 11

    List collections

    List curated collections

  4. 12

    List datasets

    Search datasets

Capability set04 / 04

13-15

3 capabilities in this set.

Part of 15 available through Hugging Face.

  1. 13

    List models by author

    List models by author

  2. 14

    Run text classification

    Classify text

  3. 15

    Run text generation

    Generate text with a model

Observed, not estimated

911ms average. Fast in production.

Hugging Face is checked daily against the live service.

Daily averagePeak 1084ms
Aug 20Today
Fastest day
754ms
Slowest day
1084ms
14-day trend
Slowing+6%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_FxkKVF0veJdw8titnLjl9u2iYyfqdlrrRTBcGZ2c/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Hugging Face capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "hugging-face-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_FxkKVF0veJdw8titnLjl9u2iYyfqdlrrRTBcGZ2c/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.