# mcp-huggingface

> mcp-huggingface — pipeworx-io-mcp-huggingface. Use this tool when you need to manage and interact with Hugging Face Hub models, datasets, and spaces, leveraging git capabilities to streamline workflows and collaborations. It solves problems related to model and dataset versioning, sharing, and deployment, providing a unified interface for various AI tasks. Ideal for use cases involving machine learning model development, data curation, and community-driven projects.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-huggingface  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-huggingface

## Description

Hugging Face Hub MCP — models, datasets, spaces

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-huggingface)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pipeworx-io-mcp-huggingface"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-huggingface` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-huggingface/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt