# Hugging Face

> Use this tool when you need to leverage a vast library of pre-trained AI models and access thousands of Gradio AI applications, enabling seamless integration with the Hugging Face Hub to streamline AI development and deployment. It solves problems related to model discovery, testing, and implementation, providing a user-friendly interface for inputting model parameters and outputting results. Ideal for AI practitioners and developers seeking to accelerate their projects with pre-trained models and customizable applications.

Canonical page: https://skillsregistry.net/skills/co-huggingface-hf-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/co-huggingface-hf-mcp-server

## Description

Connect to Hugging Face Hub and thousands of Gradio AI Applications

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.2.33
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/co.huggingface%2Fhf-mcp-server)

## Use it

MCP endpoint published by the skill: `https://huggingface.co/mcp?login`

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": "co-huggingface-hf-mcp-server"
    }
  }
}
```

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