# HF MCP Server

> HF MCP Server — javica98-hf-mcp-server. Use this tool when you need to access and utilize AI models and datasets from the Hugging Face Hub, solving problems such as model discovery, metadata retrieval, and inference execution for text, image, and audio inputs. It provides a direct interface for searching, fetching, and running models, accepting input queries and returning relevant results and metadata. Ideal for applications requiring seamless integration with the Hugging Face ecosystem, enabling efficient model deployment and inference.

Canonical page: https://skillsregistry.net/skills/javica98-hf-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/javica98-hf-mcp-server

## Description

Provides direct access to the Hugging Face Hub for searching models and datasets, fetching metadata, and running inference on text, images, and audio.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/es3upic1dq)
- **Repository:** <https://github.com/javica98/hf-mcp-server>

## 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": "javica98-hf-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/javica98-hf-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/javica98-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