# Hugging Face MCP Server

> Use this tool when you need to integrate large language models (LLMs) with a vast library of AI applications and models, enabling seamless interaction and search capabilities. It connects LLMs to the Hugging Face Hub and thousands of Gradio AI applications, solving problems related to model discovery and interaction. Ideal for use cases requiring model deployment, testing, and integration with existing AI ecosystems.

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

## Description

Connects LLMs to the Hugging Face Hub and thousands of Gradio AI applications, enabling model interaction and search.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-25

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o9oevyojqt)
- **Repository:** <https://github.com/huggingface/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": "evalstate-hf-mcp-server"
    }
  }
}
```

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