Preferly

ai.preferly由 preferly.ai 發布官方發布者v1.0.1更新於 Nov 14, 2026

Free AI visibility checks for any website: AI crawler access, llms.txt, schema, business info.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取資料與分析

概覽

AI 產生的概覽

免費的託管檢查服務，讓助理判斷 AI 爬蟲與 AI 工具能否存取並讀取某個網站。

可以做什麼
  • 檢查 AI 爬蟲存取：讀取 robots.txt，回報 13 種 AI 爬蟲各自被允許或封鎖，以及首頁對它們是否可載入
  • 檢查 llms.txt：回報是否有 /llms.txt、其大小與標題，並依行號列出不符格式之處
  • 檢查結構化資料：回報業務類型以及哪些 schema.org 欄位存在、缺少或看起來有問題
  • 檢查可讀的業務資訊：回報名稱、電話、電子郵件、地址、營業時間與價格是否以文字呈現而不需執行腳本
  • 產生 robots.txt 規則：放行 AI 搜尋爬蟲、阻擋訓練爬蟲，並可指定要保密的路径
  • 快速能見度檢查：針對該業務向 3 個 AI 模型提出 3 個典型客戶問題並彙整結果
適用情境
適合想了解網站為何未出現在 AI 回答中、需要稽核 AI 爬蟲規則、llms.txt 或業務結構化資料，或需要現成的 AI 爬蟲 robots.txt 規則時使用。
執行需求
遠端 streamable HTTP 端點，無需安裝。不需註冊、API 金鑰或身分驗證。每次呼叫針對一個公開網站。依呼叫端與依網站皆有限流。
安裝前請注意
僅唯讀且只抓取公開頁面，但每次檢查都會被記錄，包括網址中選填的用戶端名稱。快速能見度檢查會把網站公開內容傳送給 AI 模型。多模型完整報告是另外的付費產品。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Preferly，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.preferly%2Fpreferly/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "preferly": {
      "type": "http",
      "url": "https://www.preferly.ai/mcp"
    }
  }
}

README

[Preferly logo]

Preferly MCP server

Free AI visibility checks for any website, inside Claude, ChatGPT, Cursor, VS Code and any other AI tool that speaks the Model Context Protocol (MCP). Ask your assistant whether AI crawlers can reach a site, whether its llms.txt and business schema are right, and whether AI can read its hours and prices, and it runs Preferly's checks for you.

https://www.preferly.ai/mcp

Streamable HTTP · No sign-up · No API key · Read-only

This is a hosted (remote) server, so there is nothing to install or run. This repository holds the documentation and ready-made configs. The server itself runs at preferly.ai.

[Add to Cursor] [Install in VS Code] [Install in VS Code Insiders]

Tools

Every tool is read-only and works on one public website per call. None of them changes anything on the site.

ToolInputWhat it does
check_ai_crawler_accesswebsiteWhether the site's robots.txt lets 10+ AI crawlers in (GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended and more) and which rule decides each one; whether the homepage loads for them or shows a bot check; whether it has /llms.txt; its structured data types.
generate_ai_robots_txtallow_search (default true), allow_training (default false), optional disallow_pathsrobots.txt lines that let AI search and assistant crawlers in and keep training crawlers out, or any mix. Fetches nothing.
check_llms_txtwebsiteWhether the site publishes /llms.txt, its size and title, and what doesn't follow the llmstxt.org format, with line numbers.
check_business_schemawebsiteThe business described in the homepage's structured data (JSON-LD): its type, and which fields are present, missing or look off.
check_business_infowebsiteWhether the site's name, phone, email, address, hours and prices are readable as text without running scripts.
quick_ai_visibility_checkwebsiteAsks 3 AI models 3 typical customer questions about the business, from its public website, and reports whether each named it and where one contradicts the website.

The live list is always in the server card and the server's tools/list.

Set up

Most clients only need the URL. Adding ?client=<your tool> helps us count which tools people use; it's optional.

Any client, one command

bash
npx add-mcp https://www.preferly.ai/mcp

add-mcp finds the MCP clients on your computer and adds Preferly to them.

Claude Code

bash
claude mcp add --transport http preferly "https://www.preferly.ai/mcp?client=claude"

Claude (claude.ai and Claude Desktop)

Open Settings → Connectors → Add custom connector.

  • Name: Preferly
  • URL: https://www.preferly.ai/mcp?client=claude

Leave authentication empty and save. Then turn Preferly on from the tools menu in a chat. Custom connectors are available on Claude's paid plans.

ChatGPT (developer mode)

In ChatGPT on the web, open Settings → Apps → Advanced settings, turn on Developer mode, then choose Create app.

  • Name: Preferly
  • MCP server URL: https://www.preferly.ai/mcp
  • Authentication: No authentication

Whether developer mode is available depends on your plan and workspace settings. A listed Preferly app for ChatGPT is in review.

Cursor

Use the Add to Cursor button above, or add this to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):

json
{  "mcpServers": {    "preferly": { "url": "https://www.preferly.ai/mcp?client=cursor" }  }}

VS Code (GitHub Copilot)

Use the Install in VS Code button above. You can also run MCP: Add Server → HTTP and paste https://www.preferly.ai/mcp?client=vscode, or add this to .vscode/mcp.json:

json
{  "servers": {    "preferly": { "type": "http", "url": "https://www.preferly.ai/mcp?client=vscode" }  }}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

json
{  "mcpServers": {    "preferly": { "serverUrl": "https://www.preferly.ai/mcp?client=windsurf" }  }}

Cline

Open the MCP Servers panel → Remote Servers, name it preferly and paste https://www.preferly.ai/mcp?client=cline. You can also add this to cline_mcp_settings.json:

json
{  "mcpServers": {    "preferly": { "type": "streamableHttp", "url": "https://www.preferly.ai/mcp?client=cline" }  }}

To let Cline set it up for you, point it at llms-install.md.

Codex

bash
codex mcp add preferly --url "https://www.preferly.ai/mcp?client=codex"

Gemini CLI

Add to ~/.gemini/settings.json:

json
{  "mcpServers": {    "preferly": { "httpUrl": "https://www.preferly.ai/mcp?client=gemini" }  }}

Goose

Run goose configure → Add Extension → Remote Extension (Streamable HTTP), name it preferly and use https://www.preferly.ai/mcp?client=goose.

Zed

Add to your Zed settings.json:

json
{  "context_servers": {    "preferly": { "url": "https://www.preferly.ai/mcp?client=zed" }  }}

If your Zed version only runs local servers, use the bridge instead: "command": "npx", "args": ["-y", "mcp-remote", "https://www.preferly.ai/mcp?client=zed"].

Hermes Agent

bash
hermes plugins install preferly-ai/preferly-hermes --no-enablehermes plugins enable preferly

The plugin (preferly-ai/preferly-hermes) adds the server plus a skill that tells Hermes when to use each tool.

Other clients

Point the client at https://www.preferly.ai/mcp (streamable HTTP, no auth). If it only runs local (stdio) servers, use mcp-remote:

json
{  "mcpServers": {    "preferly": { "command": "npx", "args": ["-y", "mcp-remote", "https://www.preferly.ai/mcp"] }  }}

A generic config is in mcp.json.

Try asking

  • "Can AI crawlers read example.com?"
  • "Does my robots.txt block GPTBot or ClaudeBot?"
  • "Write robots.txt lines that let AI search crawlers in, keep training crawlers out, and keep /admin private."
  • "Does example.com have a valid llms.txt?"
  • "Is the business schema on example.com complete?"
  • "Can AI read the phone number, hours and prices on example.com without running scripts?"
  • "What do AI assistants say about the business at example.com?"

Limits, privacy and safety

  • Free, no sign-up and no key. Each caller gets 10 calls an hour and 30 website checks a day. Each website gets at most 20 fresh checks a day across all callers. A check for the same website in the last 10 minutes may be reused.
  • The website checks fetch only public pages: robots.txt, the homepage, /llms.txt, and at most 2 contact, booking or pricing pages that robots.txt allows. They identify themselves as PreferlyBot. They never log in, submit forms or change anything.
  • generate_ai_robots_txt fetches nothing.
  • Only quick_ai_visibility_check calls AI models, and it uses only what the website says publicly.
  • Preferly records each check and the client name you pass in ?client= to apply these limits and count usage. See the privacy policy.

What these checks don't do

They check whether AI can reach and read a website, not what AI assistants actually say about a business. For that, Preferly's full report asks 10 leading AI models about your business, quotes every place they contradict your website, and gives you the fixes ready to paste, for $99 once. See an example report.

Links

License

The documentation and configs in this repository are MIT licensed (see LICENSE). The hosted server is operated by Preferly.

來源：README.md，提交 afcea5c

工具

6

check_ai_crawler_access

Check AI crawler access

Use this when the user wants to know whether AI crawlers and AI tools can access a specific website. It reads the site's robots.txt and reports, for 13 AI crawlers (including GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot and Google-Extended), whether each is allowed or blocked and which rule decides it. It also reports whether the homepage loads for an automated visitor or shows a bot check (such as Cloudflare, SiteGround or AWS WAF), whether the site publishes /llms.txt, and which schema.org types the homepage declares. Input: one public website address. It fetches only robots.txt, the homepage and /llms.txt, identifying itself as PreferlyBot, and changes nothing on the site. A result for the same domain may come from a check run in the last 10 minutes. It does not report what AI tools say about the business, search rankings, or pages other than the homepage.

輸入參數website必填

check_llms_txt

Check llms.txt

Use this when the user asks whether a website has an llms.txt file or whether it's set up correctly. It fetches /llms.txt and reports whether it was found, its size and title, and every place it doesn't follow the llmstxt.org format (missing H1, no summary line, links that aren't Markdown or https), with line numbers. It also lists the homepage's main pages, which can seed a new llms.txt. Input: one public website. Reads robots.txt, the homepage and /llms.txt as PreferlyBot; changes nothing.

輸入參數website必填

check_business_schema

Check business structured data

Use this when the user asks whether a website's structured data (schema.org JSON-LD) describes the business correctly. It reads the homepage's JSON-LD and reports the business type it found (Organization, LocalBusiness or a subtype), which business fields are present, missing or look off (name, url, phone, address, hours and more), and where the structured data and the page disagree. Input: one public website. Reads robots.txt, the homepage and /llms.txt as PreferlyBot; changes nothing.

輸入參數website必填

check_business_info

Check readable business info

Use this when the user asks whether AI tools can read a business's details from its website. It reports whether the business name, phone number, email, address, opening hours and prices are readable as text in the page, only appear after scripts run, or weren't found, on the homepage and up to 2 contact, booking or pricing pages that robots.txt allows. Input: one public website. Reads robots.txt, the homepage, /llms.txt and up to 2 more pages as PreferlyBot; changes nothing.

輸入參數website必填

generate_ai_robots_txt

Generate AI robots.txt lines

Use this when the user wants robots.txt lines that control which AI crawlers may read their website. By default it lets AI search and assistant crawlers in (so the site can appear in AI answers) and keeps AI training crawlers out; either can be switched. Optional paths are kept private from every allowed crawler. It returns the lines to paste into robots.txt and which crawlers each group covers. It fetches nothing and needs no website.

輸入參數allow_searchallow_trainingdisallow_paths

quick_ai_visibility_check

Quick AI visibility check

Use this when the user asks what AI assistants say about a specific business, or whether AI tools mention or recommend it. Given the business's public website, it reads the site (robots.txt, the homepage and up to 2 contact, booking or pricing pages), writes 3 typical customer questions, and asks 3 AI models each question, answering from what they already know (no web search). It reports, for each model, whether it named the business and where it ranked when it gave a list, up to 2 statements where an AI model contradicts the website, and a one-line crawler summary. Input: one public website and, optionally, the business name. A result for the same website may come from a check run in the last 24 hours. Changes nothing on the site.

輸入參數citywebsite必填business_name

版本歷史

1
  1. v1.0.1最新Nov 14, 2026

評分

已滿足適用檢查項的 100%

該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分