MCP For Claude Marketplace
Hugging Face

Hugging Face MCP Connector for Claude

A+

Access thousands of pre-trained AI models for NLP, vision, and audio tasks with the largest open-source machine learning hub.

15 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Hugging Face account to any AI agent and interact with the Hub through natural conversation.

What you can do

  • Model Discovery — Search models by keyword, author, or pipeline task
  • Dataset Exploration — Browse and inspect dataset schemas and metadata
  • Spaces — Search and view interactive ML demo applications
  • Collections — List curated groups of models, datasets, and Spaces
  • Inference — Run any hosted model: text generation, classification, summarization
  • Account — View your profile, orgs, and token scopes
  • Health Check — Verify API connectivity
machine-learningmodel-discoverydatasetsnlpcomputer-visionai-models

15 tools expose this connector's capabilities to your AI agent.

list_spaces

Search Spaces

check_hf_status

Verify API connectivity

get_account

Get account info

get_dataset

Get dataset details

get_model

Get model details

get_space

Get Space details

list_collections

List curated collections

list_datasets

Search datasets

list_models_by_author

List models by author

list_models_by_task

) sorted by downloads. List models by task

list_models

Search models on Hugging Face Hub

run_text_classification

Classify text

run_inference

Run model inference

run_summarization

Summarize text

run_text_generation

Generate text with a model

See how to talk to your AI agent using Hugging Face.

Find the top text generation models.

Top text-generation models: 1) meta-llama/Llama-2-7b (2.1M downloads), 2) mistralai/Mistral-7B (1.8M), 3) google/gemma-7b (950K). Would you like to run inference on any of these?

Generate text with mistralai/Mistral-7B: 'Explain quantum computing in simple terms'.

Generated (247 tokens): 'Quantum computing uses quantum bits (qubits) that can exist in multiple states simultaneously, unlike classical bits. This enables solving certain problems exponentially faster...'

Search datasets about sentiment analysis.

Found 15 datasets: 1) 'stanfordnlp/imdb' (25K reviews), 2) 'tweet_eval' (multi-task tweets), 3) 'amazon_reviews_multi' (200K reviews in 6 languages).

Yes. Use `run_inference`, `run_text_generation`, `run_text_classification`, or `run_summarization` to send input to any hosted model and get results instantly.

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