# huggingface_mcp

> huggingface_mcp — talos-ai-solutions-huggingface-mcp. Use this tool when you need to leverage the HuggingFace datasets API for accessing and managing large datasets, solving problems related to data retrieval and version control. It provides capabilities such as git integration, allowing for seamless collaboration and data management. Ideal for use cases involving natural language processing, machine learning, and data science workflows.

Canonical page: https://skillsregistry.net/skills/talos-ai-solutions-huggingface-mcp  
JSON: https://api.skillsregistry.net/v1/skills/talos-ai-solutions-huggingface-mcp

## Description

MCP server which provides capabilities over the HuggingFace datasets API

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Talos-AI-Solutions/huggingface_mcp)

## 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": "talos-ai-solutions-huggingface-mcp"
    }
  }
}
```

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