Greeting & Image Generation MCP Server
Enables AI image generation using the FLUX.1-schnell model through Hugging Face's inference API, producing base64-encoded PNG images from text prompts.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Greeting & Image Generation MCP Servergreeting Alice in Korean"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Greeting & Image Generation MCP Server
다국어 인사 및 AI 이미지 생성을 지원하는 MCP (Model Context Protocol) 서버입니다.
기능
1. 다국어 인사 (greeting)
영어, 한국어, 일본어로 인사말 생성
매개변수:
name: 인사할 사람의 이름 (필수)language: 언어 선택 (en,ko,ja중 선택, 기본값:en)
2. AI 이미지 생성 (generate_image)
FLUX.1-schnell 모델을 사용한 AI 이미지 생성
매개변수:
prompt: 이미지 생성을 위한 프롬프트 설명 (필수)
결과: base64 인코딩된 PNG 이미지
Related MCP server: DiffuGen
설치 및 설정
의존성 설치:
npm install환경변수 설정:
export HF_TOKEN="your_huggingface_token_here"빌드:
npm run build사용법
MCP 클라이언트에서 사용
1. 인사 도구 사용
{
"tool": "greeting",
"parameters": {
"name": "Alice",
"language": "en"
}
}결과:
{
"content": [
{
"type": "text",
"text": "Hello, Alice! Nice to meet you! 👋"
}
]
}2. 이미지 생성 도구 사용
{
"tool": "generate_image",
"parameters": {
"prompt": "Astronaut riding a horse"
}
}결과:
{
"content": [
{
"type": "image",
"data": "base64-encoded-data",
"mimeType": "image/png"
}
],
"annotations": {
"audience": ["user"],
"priority": 0.9
}
}리소스
서버 정보
server://info: 기본 서버 정보server://detailed-info: 상세한 서버 기능 및 상태 정보
프롬프트
코드 리뷰
code_review: 종합적인 코드 리뷰 프롬프트 템플릿
환경변수
HF_TOKEN: Hugging Face API 토큰 (이미지 생성 기능에 필요)
기술 스택
TypeScript
@modelcontextprotocol/sdk
@huggingface/inference
Zod (스키마 검증)
라이선스
ISC
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