Integrate Hugging Face with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Can I search models by task type (e.g. text-generation)?

Yes! Use listmodels with a search query. While the search endpoint doesn't directly filter by pipelinetag, you can search by task name (e.g. search='text-generation') and then use getmodel or getmodeltags to verify the pipelinetag of specific models.

Explore AI models, datasets and Spaces via Hugging Face — search models, inspect files, review discussions and track collections from any AI agent.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create discussion on Hugging Face

Requires the repo type (model, dataset or space), the repo ID in "author/name" format and the discussion title. Returns the created discussion with its ID, title and URL. Create a new discussion on a Hugging Face repo

get

Get collection on Hugging Face

Provide the collection slug. Get details for a specific Hugging Face collection

get

Get model on Hugging Face

Provide the model ID in "author/name" format (e.g. "google-bert/bert-base-uncased"). Get details for a specific Hugging Face model

get

Get model tags on Hugging Face

Tags include framework (pytorch, tensorflow), license, dataset, language and task-specific labels. The pipeline_tag indicates the model's primary task (e.g. "text-generation", "image-classification", "translation"). Get tags and pipeline info for a Hugging Face model

get

Get space on Hugging Face

Provide the space ID in "author/name" format. Get details for a specific Hugging Face Space

get

Get user on Hugging Face

Returns user name, avatar, organizations, auth type, plan and access tokens metadata. Use this to verify your token is working correctly. Get the authenticated Hugging Face user

list

List collections on Hugging Face

Optionally filter by author and limit. Returns collection slug, title, description, author, item count and likes count. List collections on Hugging Face Hub

list

List dataset files on Hugging Face

Returns filenames (e.g. "train.parquet", "test.parquet", "data/", "README.md"). Optionally set a subdirectory path. Useful for understanding dataset structure before downloading. List files in a Hugging Face dataset repository

list

List datasets on Hugging Face

Optionally filter by search term, author and limit. Returns dataset ID, author, description, download count, likes count and creation date. List datasets on Hugging Face Hub

list

List model discussions on Hugging Face

Returns discussion title, author, creation date, number of comments and whether it is resolved. Use this to review community feedback, bug reports and feature requests for a model. List discussions for a Hugging Face model

list

List model files on Hugging Face

Returns filenames, file sizes and paths (e.g. "model.safetensors", "tokenizer.json", "config.json", "README.md"). Optionally set a subdirectory path to list files within a specific folder. Useful for inspecting model artifacts and understanding the repository structure. List files in a Hugging Face model repository

list

List models on Hugging Face

Optionally filter by search term (free-text across model cards), author (organization or username) and limit the number of results. Returns model ID, author, pipeline task tag, download count, likes count and creation date. List models on Hugging Face Hub

list

List spaces on Hugging Face

Optionally filter by search term, author and limit. Returns space ID, title, author, SDK (Gradio, Streamlit, Docker), likes count and creation date. List Spaces on Hugging Face Hub

Security & Code Integrity Audit

Every tool in the Hugging Face MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 98.33

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Can I search models by task type (e.g. text-generation)?

Yes! Use list_models with a search query. While the search endpoint doesn't directly filter by pipeline_tag, you can search by task name (e.g. search='text-generation') and then use get_model or get_model_tags to verify the pipeline_tag of specific models.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Triggering Hugging Face via Natural Language

Use Hugging Face with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.

The Future of model discovery

Provide Claude Code and Cursor with read and write access to model discovery. The Hugging Face toolkit handles all necessary routing for loved by devs integrations.

Secure machine learning Access for Agents

Connect Hugging Face to provide your chatbots with machine learning capabilities. The integration manages the backend execution for loved by devs workflows.