hibot
HiBot public knowledge: the ANSWER framework for AI visibility, audit plans, case studies, research
我該用這個嗎
品質與安全性
發現項目（2）
- LOWTool 'get_answer_methodology' description lacks action verb在 get_answer_methodology 中
- LOWTool 'generate_ai_visibility_questions' name length outside 3-30 range在 generate_ai_visibility_questions 中
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"hibot": {
"url": "https://hibot.com/mcp/public"
}
}
}遠端端點
https://hibot.com/mcp/publicstreamable-http它能做什麼
工具清單
工具（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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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
}社群
證據