What can you do with the HuggingFace Hub API integration?

LiveContext exposes 17 operations on HuggingFace Hub API, covering repo, dataset, model and space. Common uses include Build filter UI, Discover tag categories and Publish models.

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HuggingFace Hub API integration

Repository management API for the Hugging Face Hub. Browse, search, and manage models, datasets, and spaces. Create, delete, and move repositories. Access metadata for millions of ML artifacts.

17 toolsTokenAPI docs

Connect HuggingFace Hub API How integrations work

Common HuggingFace Hub API use cases

Build filter UI
Discover tag categories
Publish models
Model discovery
Space discovery
Dataset discovery
Remove old models
Track discussions
List model versions
Model documentation

What you can do with HuggingFace Hub API

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Repo, 5 operations

POSTcreate_repo
Creates a new repository for models, datasets, or spaces.
DELETEdelete_repo
Permanently deletes a repository from Hugging Face Hub.
GETget_trending
Retrieves currently trending repositories on the Hub.
POSTmove_repo
Moves or renames a repository on Hugging Face Hub.
PUTupdate_repo_settings
Updates repository settings such as visibility and access gating.

Dataset, 2 operations

GETget_dataset_info
Retrieves detailed metadata for a specific dataset.
GETlist_datasets
Lists available datasets from the Hugging Face Hub.

Model, 2 operations

GETget_model_info
Retrieves detailed metadata for a specific model.
GETlist_models
Lists available models from the Hugging Face Hub with filtering and search.

Space, 2 operations

GETget_space_info
Retrieves detailed metadata for a specific Space.
GETlist_spaces
Lists available Spaces from the Hugging Face Hub.

Tag, 2 operations

GETget_dataset_tags
Retrieves all available dataset tags grouped by type.
GETget_model_tags
Retrieves all available model tags grouped by type.

Discussion, 1 operation

GETlist_discussions
Lists discussions and pull requests for a repository.

File, 1 operation

GETlist_repo_files
Lists files and folders in a repository tree.

Ref, 1 operation

GETlist_repo_refs
Lists branches, tags, and optionally pull requests for a repository.

User, 1 operation

GETwhoami
Returns the authenticated user's account information.

Use HuggingFace Hub API from Claude Code, Cursor or Codex

Connect HuggingFace Hub API in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its HuggingFace Hub API operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect HuggingFace Hub API

Create your workspace
Sign up free. Nothing to install.
Connect HuggingFace Hub API once
Add your HuggingFace Hub API connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

HuggingFace Hub API integration FAQ

What can you do with the HuggingFace Hub API integration?: LiveContext exposes 17 operations on HuggingFace Hub API, covering repo, dataset, model and space. Common uses include Build filter UI, Discover tag categories and Publish models.