hibot
HiBot public knowledge: the ANSWER framework for AI visibility, audit plans, case studies, research
사용해야 할까요
품질 및 안전성
발견 사항 (2)
- LOWget_answer_methodology에서
- LOWgenerate_ai_visibility_questions에서
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": {
"hibot": {
"url": "https://hibot.com/mcp/public"
}
}
}원격 엔드포인트
https://hibot.com/mcp/publicstreamable-http할 수 있는 일
도구 목록
도구 (5)
🟢get_answer_methodology
The ANSWER framework for measuring AI visibility: the six categories, the 0 to 4 response rubric, category weights, score bands, and the letter-grade scale. Use it to explain what an AI visibility score means and how each category is defined.
입력 스키마
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢list_blog_articles(category, limit, offset)
Published HiBot articles on AI visibility and the ANSWER framework, newest first, optionally filtered to one ANSWER category. Reference reading.
입력 스키마
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional ANSWER category slug: general, appearance, nomination, showdown, worth, expertise, or reputation."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"description": "Articles to return. Default 20."
},
"offset": {
"type": "integer",
"minimum": 0,
"description": "Articles to skip for paging. Default 0."
}
},
"additionalProperties": false
}🟢get_blog_article(slug)
One published HiBot article by slug, rendered as readable Markdown with its canonical URL. Reference reading on AI visibility and the ANSWER framework.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Article slug from list_blog_articles or search_blog."
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢search_blog(query, limit)
Keyword search over published HiBot articles, ranked by relevance, each with its page URL. Reference reading on AI visibility and the ANSWER framework.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Keywords to search for."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20,
"description": "Results to return. Default 10."
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢generate_ai_visibility_questions(website, brandName, description)
Generate the AI-visibility questions for any brand from its website: the kinds of questions real customers ask ChatGPT, Perplexity, and Google when choosing in that market, mapped to the six ANSWER categories (Appearance, Nomination, Showdown, Worth, Expertise, Reputation). Useful for AEO and GEO research and content planning. It reads the site to infer the brand; pass brandName and description if the site cannot be read automatically.
입력 스키마
{
"type": "object",
"properties": {
"website": {
"type": "string",
"description": "The brand's website or domain, e.g. example.com. Required."
},
"brandName": {
"type": "string",
"description": "Optional. Only needed if the site cannot be read automatically (a JavaScript-heavy or very small site)."
},
"description": {
"type": "string",
"description": "Optional. One line on what the business sells. Only needed if the site cannot be read automatically."
}
},
"required": [
"website"
],
"additionalProperties": false
}커뮤니티
증거