Changelog

The Hugging Face MCP Server has been updated to provide enhanced connectivity to the Hub with fewer tools and tokens.

The main change is the new hf_fs tool which provides a single interface to repositories, storage, documentation, papers and more. It's equipped with search and lets your assistant naturally navigate Hugging Face in just over 1,000 tokens.

Add Sandboxes to give your assistant secure execution environments attached to buckets and repositories. This gives blazing fast code access for dataset analysis, model training,  Space creation and much more.

Share your feedback on MCP here and update your settings at https://huggingface.co/settings/mcp

Users can now see their egress usage directly in the dashboard. Organizations also receive a per‑user egress breakdown, showing how much data each member consumes. The view currently includes only traffic routed through the Hugging Face CDN, and coverage will expand as more traffic is directed through the CDN.

The new Space creation page now includes an option to build with an AI agent. Copy the generated command into your agent and let it build and iterate on a Space for a model, paper, or local folder.

https://huggingface.co/new-space

You can now create fine-grained access tokens from presets: Read-Only, Inference, Write, CI/CD, or Full Access. Pick a preset to get a curated set of permissions with a clear summary of what the token can do, attach organizations in one click, or switch to Custom to fine-tune individual permissions as before.

Presets are also linkable: URLs like /settings/tokens/new?preset=inference or /settings/tokens/new?preset=read-only&orgs=huggingface take you straight to a pre-configured token, handy for docs and onboarding guides.

A new Hardware filter on the Models page filters results to models that fit a specific GPU, CPU, or Apple Silicon chip, so you only see what will actually run on your machine. Set the hardware you want from your Hardware settings.

It stacks with the page's other filters and is shareable via URL, so a link like huggingface.co/models?apps=llama.cpp&hardware=apple-m4-max points anyone, even logged-out visitors, at the llama.cpp models that fit an Apple M4 Max.