Mcp Agent Accessibility Auditor

com.mambabuilt由 mambabuilt.com 發布v1.3.1更新於 Nov 7, 2026

Audit whether an AI agent can read a site: llms.txt, robots AI rules, structured data.

已驗證STDIO僅桌面網頁搜尋與抓取開發者工具

概覽

AI 產生的概覽

稽核網站能否被 AI 代理讀取，檢查 llms.txt、robots 中的 AI 爬蟲規則、結構化資料、渲染模式與機器可讀端點。

可以做什麼
  • 稽核單一網域的代理可讀性，回傳含 42 個欄位的一列結果
  • 檢查 llms.txt、llms-full.txt 與 ai.txt 是否存在且有效
  • 檢視 robots.txt 中的 AI 爬蟲政策，包含 Content Signal 指令
  • 檢查結構化資料：JSON-LD、microdata、Open Graph 與 canonical
  • 探測 sitemap、OpenAPI、security.txt、feeds 等機器可讀端點
  • 可只執行指定檢查項目，或為單次執行設定費用上限
適用情境
適合為 AI 爬蟲與代理流量做準備的 SEO 或成長工程師，也適合需要為客戶清單做前後對比稽核的代理商。它回傳的是抓取所得的事實，而非模型判斷，結果穩定可重現。
執行需求
以 Node.js 套件形式透過 npx 在本機以 stdio 執行。需要 Apify 帳號與 APIFY_TOKEN 環境變數；工具會呼叫 Apify actor 並消耗 Apify 額度。
安裝前請注意
執行會產生費用：依分析的網域數量計費並另收 actor 啟動費，且消耗 Apify 額度，可用 max_charge_usd 設定上限。APIFY_TOKEN 密鑰透過環境變數傳入。送出的網域會傳至 Apify 的 actor，結果預設快取 7 天，除非設定 skipCache。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp Agent Accessibility Auditor，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。

Desktop only，透過 STDIO。 STDIO 服務會啟動本機處理程序，因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Agent Accessibility Auditor MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

[Agent Accessibility Auditor MCP server]

MCP server for the Mamba Labs Agent Accessibility Auditor actor on Apify.

Can an AI agent read this site? Give it a domain and it returns one flat row of 42 fields covering five families of fact: the llms.txt family, robots AI crawler policy including the newer Content Signal directives, structured data presence and health, render mode, and machine readable endpoint discovery.

Install

bash
npx -y @mambalabsdev/mcp-agent-accessibility-auditor

Claude Desktop

json
{  "mcpServers": {    "mamba-agent-accessibility-auditor": {      "command": "npx",      "args": ["-y", "@mambalabsdev/mcp-agent-accessibility-auditor"],      "env": { "APIFY_TOKEN": "your-apify-token" }    }  }}

Get an Apify token at console.apify.com/account/integrations.

Tool

audit_agent_accessibility

Domain in, whether an AI agent can read that site out.

InputTypeRequiredNotes
domainstringyesOne company domain, for example vercel.com. A full URL is accepted: the protocol and path are stripped. One domain per call.
checksarraynoRun only these checks: llms_txt, robots_ai, sitemap, openapi, security_txt, feeds, json_ld, microdata, open_graph, canonical, render_mode. Omit for all of them. A check you did not run reports null, never false, and the score is rescaled over what you selected.
check_endpointsbooleannoAlias for the checks array: false removes sitemap, openapi, security_txt and feeds. Ignored when checks is set. Default true.
check_structured_databooleannoAlias for the checks array: false removes json_ld, microdata, open_graph and canonical. Ignored when checks is set. Default true.
skipCacheenumnoLeave as false to use the 7 day cache. Set to true to re-audit the domain from scratch. Default false.
max_charge_usdnumbernoOptional cost cap in USD for this run. The actor stops before an item that could take its charges past this amount. Omit to rely on the maximum cost per run set in Apify.

Reading the output

Every field is a fact read off a fetch. No model is called at any point, so the same domain returns the same row today and next month unless the site actually changed.

has_llms_txt is true only when /llms.txt returns 200 and the body is real markdown, and llms_txt_reject_reason says why a 200 was not counted. Twelve requests per domain, robots.txt first and then the homepage and ten probes concurrently. Typical wall clock is 2 to 4 seconds.

Built for a technical SEO or growth engineer preparing a site for AI crawlers and agent traffic, or an agency selling that work and needing a before and after audit across a client list.

Billing

You are charged per domain analyzed, plus a small actor start fee. A repeat run inside the 7 day cache window costs nothing new.

Price per event on the Apify FREE plan, from the live pricing record; paid Apify plans pay less per event.

EventPrice (USD)
Domain analyzed (domain-analyzed)0.005
Actor Start (apify-actor-start)0.00005

Pricing is on the actor's Apify page. Running this server consumes Apify credits.

What this server does and does not do

It is a thin client for the Apify actor. It passes your input through and returns the actor's output unchanged. Every behavior described above lives in the actor, not here.

The tool starts the actor run and polls it to a finished status, so a long run is not cut off at 300 seconds. The run is allowed 1,800 seconds. If it is still going two minutes after that, the call stops waiting and returns the run ID with a link to it in the Apify Console, where the results land when it finishes. A run that does not succeed comes back as an error with its run ID and status.

Errors are surfaced, never swallowed. An invalid input, an invalid token, an exhausted balance, a timeout, or a run that returns anything other than a dataset all come back as an explicit tool error rather than as an empty result.

Source

The actor is on the Apify Store. This wrapper is MIT licensed.

Built by Mamba Labs

來源：README.md，提交 9b365e6

工具

1

audit_agent_accessibility

Audit Agent Accessibility

Checks whether an AI agent can read one website. Returns one flat row of 42 fields across five families: llms.txt (with llms-full.txt and ai.txt), robots.txt AI crawler policy including Content Signal directives, structured data (JSON-LD, microdata, Open Graph, canonical), render mode, and machine readable endpoints (sitemap, OpenAPI, well known files, feeds). Every field is read off a fetch and no model is called, so a repeat audit changes only when the site changes. Twelve requests per domain, typically 2 to 4 seconds. Use it to audit a site before and after AI crawler work, one domain per call. Do not use it to find which AI vendors a company pays for (that is the AI Tooling Detector) or to read page content. Requires an APIFY_TOKEN and consumes Apify credits: charged per domain analyzed plus a small run start fee. Reads public data only and writes nothing.

輸入參數checksdomain必填skipCachemax_charge_usdcheck_endpointscheck_structured_data

版本歷史

5
  1. v1.3.1最新Nov 5, 2026
  2. v1.3.0Oct 16, 2026
  3. v1.2.1Oct 6, 2026
  4. v1.2.0Oct 6, 2026
  5. v1.1.0Sep 16, 2026

評分

已滿足適用檢查項的 90%

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25 分
  • 已宣告認證方式10 分

    請在註冊中心條目中宣告憑證請求標頭，或保持端點能夠回應探測，以便判定其認證方式。

  • 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