Hugging Face MCP Server

@nikolausm

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

nikolausm

Hugging Face MCP Server について

MCP server for Hugging Face API integration - Access Stable Diffusion and other AI models

#huggingface #mcp-server #ai-image-generation

Hugging Face MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "huggingface": {
      "command": "node",
      "args": [
        "/path/to/huggingface-mcp-server/index.js"
      ],
      "env": {
        "HUGGINGFACE_TOKEN": ""
      }
    }
  }
}

Hugging Face MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Hugging Face MCP Server?

An MCP (Model Context Protocol) server that provides access to Hugging Face's AI image generation models, including Stable Diffusion. It allows users to generate images from text prompts using multiple models, check API status, and manage tokens—all through the MCP interface.

How to use Hugging Face MCP Server?

Clone the repository and install dependencies with npm install. Obtain a free Hugging Face API token from your settings page and set it as the HUGGINGFACE_TOKEN environment variable. Then add the server to your Claude Desktop configuration (or any MCP client) pointing to the server's index.js file. Use the provided tools: generate_image, list_models, and check_status.

Key features of Hugging Face MCP Server

Generate images using multiple Stable Diffusion models
Support for negative prompts and guidance scale
Save images locally or return as base64
Check API status and token validity
Free tier available with rate limits
Model selection from SD2.1 to SDXL and more

Use cases of Hugging Face MCP Server

Creating children's book illustrations with specific art styles
Generating educational diagrams (e.g., anatomy posters)
Rapid prototyping of fantasy or anime-style artwork
Producing high-quality general-purpose images for content creation

よくある質問

What models are available?

Stable Diffusion 2.1, Stable Diffusion XL, OpenJourney, Dreamlike Diffusion, and Anything v5 (anime/manga style).

Is there a free tier?

Yes, the free tier is rate-limited to approximately 10–20 requests per minute. Some models may experience queue times. For production use, upgrading to a paid plan is recommended.

How do I get a Hugging Face API token?

Go to https://huggingface.co/settings/tokens, create a new token (free), and copy it. Set it as the `HUGGINGFACE_TOKEN` environment variable.

How do I configure this server in Claude Desktop?

Add a `mcpServers` entry to `~/Library/Application Support/Claude/claude_desktop_config.json` with `command: "node"`, `args: ["/path/to/index.js"]`, and `env: { HUGGINGFACE_TOKEN: "your_token" }`.

What parameters can I use for image generation?

`prompt` (required), `model` (defaults to sd-2.1), `negative_prompt`, `guidance_scale` (higher values follow prompt more closely), and `save_path` (to save locally instead of base64).

「AI とエージェント」の他のコンテンツ

fhirHydrant

faulkj

Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.

Hypnothera

La-Salida

Agent skill: turn what your AI assistant knows about you into a personalized hypnosis session on hypnothera.ai

strac-mcp-dlp

strac-io

Detect and redact PII, PHI, PCI and secrets — SSNs, credit cards, passports, API keys and cloud credentials — in text and in local files, using the Strac DLP API. Five tools: redact_text, detect_sensitive_data, detect_fi

Legion MCP