memecub
Find memes and Chinese 表情包, and auto-place reaction images into articles, with license info.
사용해야 할까요
품질 및 안전성
발견 사항 (1)
- LOWTool 'get_meme' description lacks action verbget_meme에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"memecub": {
"url": "https://memecub.com/mcp"
}
}
}원격 엔드포인트
https://memecub.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (4)
🟢search_memes(query, limit, no_credit, commercial_only, kind, ...)
Search memecub: Chinese 表情包 / 斗图 and English reaction memes and meme templates collected from the web (commercial_use=false), plus openly licensed emoji, art and photos (commercial_use=true). Search for the reaction you want in 1-3 words; Chinese queries find Chinese 表情包, English queries find English memes. Every result says whether it is cleared for commercial use and has a Markdown snippet that already includes any required credit line. Authenticated callers also get their private library.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Reaction or concept, e.g. 'facepalm', 'mind blown', '无语', '摸鱼'"
},
"limit": {
"default": 8,
"type": "integer",
"minimum": 1,
"maximum": 20
},
"no_credit": {
"default": false,
"description": "Only commercially usable images that need no attribution",
"type": "boolean"
},
"commercial_only": {
"default": false,
"description": "Only images cleared for commercial use. Web-collected memes have commercial_use=false.",
"type": "boolean"
},
"kind": {
"description": "meme = meme or 表情包 image, gif = animated meme, upload = the caller's own uploads",
"type": "string",
"enum": [
"meme",
"gif",
"emoji",
"artwork",
"photo",
"upload"
]
},
"include_profanity": {
"default": false,
"description": "Also return memes whose captions contain swearing (common in 斗图). Off by default.",
"type": "boolean"
},
"min_size": {
"description": "Skip images smaller than this many pixels on either side; 150 suits articles",
"type": "integer",
"minimum": 0,
"maximum": 2000
},
"private_only": {
"default": false,
"description": "Only the caller's private library",
"type": "boolean"
}
},
"required": [
"query"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_meme(id)
Full details for one image by id: license, source, author, credit line, tags.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "string"
}
},
"required": [
"id"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢match_article(text, count, no_credit, commercial_only, include_profanity)
Reads an article and returns where reaction images fit best, with a chosen image and alternatives for each spot, plus the article with images inserted as Markdown. Requires an API key. If you can read the article yourself, calling search_memes per spot is cheaper.
입력 스키마
{
"type": "object",
"properties": {
"text": {
"type": "string",
"minLength": 40
},
"count": {
"default": 4,
"type": "integer",
"minimum": 1,
"maximum": 10
},
"no_credit": {
"default": false,
"description": "Only commercially usable images that need no attribution",
"type": "boolean"
},
"commercial_only": {
"default": false,
"description": "Only images cleared for commercial use",
"type": "boolean"
},
"include_profanity": {
"default": false,
"type": "boolean"
}
},
"required": [
"text"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_categories
Library categories with image counts.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}커뮤니티
증거