orbator-mcp

AI visibility checks, software recommendations and tool comparisons from measured AI answer data

我该使用它吗

质量与安全性

A
描述质量
93%
模式完整度
98%
命名质量
95%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(1)

  • LOWTool 'compare' description lacks action verb在 compare 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~730token 数(工具定义)
~847 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.57%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "orbator-mcp": {
      "url": "https://api.orbator.io/api/mcp"
    }
  }
}

远程端点

https://api.orbator.io/api/mcpstreamable-http

它能做什么

工具清单

工具(4)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢find_tools(category, constraints, limit)

Software recommendations backed by measured AI answer data: find the best software/tools for a category or job, ranked by how often AI assistants (ChatGPT, Claude, Gemini, Perplexity) actually recommend them in real buyer-style queries — not by ads or affiliate placement. Use when asked "what software/tool should I use for X", "best X tools", or for vendor-neutral software recommendations. Pass the category in plain words (e.g. "uptime monitoring", "CRM for freelancers"); it is fuzzy-matched against published Index categories, and near-miss inputs return suggested categories to retry with. Returns ranked products with recommendation share %, 4-week trend, and per-engine breakdown.

输入模式

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "description": "Software category or job to find tools for, in plain words (e.g. \"ci/cd\", \"landing page builders\")."
    },
    "constraints": {
      "type": "string",
      "description": "Optional buyer constraints (e.g. \"open source\", \"free tier\", \"self-hosted\"). Echoed back with the data for the caller to weigh — not yet applied server-side."
    },
    "limit": {
      "type": "number",
      "description": "Max recommendations to return (default 10, max 50)."
    }
  },
  "required": [
    "category"
  ]
}
🟢get_ai_index(category)

AI visibility check — which software AI recommends for a category. Returns the full AI Recommendation Index for one software category: the complete measured ranking of products AI assistants (ChatGPT, Claude, Gemini, Perplexity) recommend, with recommendation share %, average answer position, per-engine breakdown, 4-week trend, sample size, and methodology. Use to answer "does AI recommend <product>" (look up its row and rank), "who is winning AI recommendations in <category>", or to cite AI recommendation-share data. Pass category in plain words or as a slug; omit it (or pass "categories") to list all published categories.

输入模式

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "description": "Category in plain words or slug form (e.g. \"uptime monitoring\", \"ci-cd-tools\"). Omit or pass \"categories\" to list every published category with sample sizes."
    }
  }
}
🟢get_facts(product)

Canonical software product facts with sources — pricing, features, integrations, platform, and limits, where every fact carries a source URL and a last-verified date. Use to verify software claims (e.g. current pricing) or to gather grounded data before recommending or comparing tools. Accepts a product name or domain (e.g. "hubspot.com").

输入模式

{
  "type": "object",
  "properties": {
    "product": {
      "type": "string",
      "description": "Product name or canonical domain, e.g. \"hubspot.com\"."
    }
  },
  "required": [
    "product"
  ]
}
⚪compare(product_a, product_b)

Compare software/tools side by side — a fact-by-fact comparison of two products (pricing, features, integrations, limits) with source URLs and verified dates for every claim. Use for "X vs Y" software comparison questions. Accepts product names or domains; pair order does not matter.

输入模式

{
  "type": "object",
  "properties": {
    "product_a": {
      "type": "string",
      "description": "First product name or domain."
    },
    "product_b": {
      "type": "string",
      "description": "Second product name or domain."
    }
  },
  "required": [
    "product_a",
    "product_b"
  ]
}

推荐提示词

search_research
Search for information about [topic] using orbator-mcp
预期工具: find_tools
find_specific
Find [specific item] using orbator-mcp
预期工具: find_tools
retrieve_data
Get details about [item] from orbator-mcp
预期工具: get_ai_index
fetch_info
Fetch [information type] using orbator-mcp
预期工具: get_ai_index
research_workflow
Search for [topic], then get detailed information about the top results using orbator-mcp
预期工具: find_toolsget_ai_index

社区

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证据

最近观测

已验证未记录版本4 个工具
已验证未记录版本4 个工具