原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Aso Audit MCP

作者:forgemeshlabs版本 0.4.6i★ –i在你的电脑上运行
注册名称io.github.forgemeshlabs/aso-audit-mcp

安装

概览

作者提供的说明(英文原文)

ASO Scanner — the free Agent Readiness scanner as an MCP server. Measures your ASO Score (Agent.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "aso-audit": {
      "command": "npx",
      "args": [
        "-y",
        "@forgemeshlabs/aso-audit-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add aso-audit -- npx -y @forgemeshlabs/aso-audit-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "aso-audit": {
      "command": "npx",
      "args": [
        "-y",
        "@forgemeshlabs/aso-audit-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "aso-audit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@forgemeshlabs/aso-audit-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 forgemeshlabs 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18659 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18659 个服务器的 85% 更新
  • 基础检查结果等于或优于此分类中其他 18659 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Aso Audit MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.4.6)于7天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, alalanet — check before you pay

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

作者:formulahendry起步阶段↓ 66/周★ 44014个月前更新

在你的电脑上运行

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

作者:desktop-commander正在增长★ 2113天前更新

在云端运行✓ desktopcommander.app

alalanet — check before you pay

Check packages, MCP servers and x402 endpoints before agents install or pay. Signed.

作者:alalanet起步阶段今天更新

在云端运行✓ alalanet.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

aso-mcp — the free Agent Readiness Scanner

What's your ASO score?

SEO made you visible to search engines. ASO (Agent Signal Optimization) makes you discoverable, trustable, and payable by the AI agents that are becoming the web's next visitors.

aso-mcp is the free, open-source ASO Scanner — an MCP server that scans any website and produces an Agent Readiness Report scored on the open ASO framework. The beta npm package is @forgemeshlabs/aso-audit-mcp.

This release tracks Google's current agent-readiness guidance without overstating it: Google Search says traditional SEO fundamentals still apply to generative AI search, llms.txt is ignored by Google Search itself, and browser agents benefit from clean DOM, screenshot, and accessibility-tree signals. The scanner keeps llms.txt because non-Google agents use it, and adds a browser-agent UX check for semantic controls, linked labels, ARIA/role fallbacks, and hidden-overlay risk.

Beta. Experimental ASO scanner for evaluating whether agents can discover, trust, understand, and use a website/API/tool. ASO scoring is experimental and will evolve as agent standards mature.

=== Agent Readiness Report: https://example.com ===

ASO Score: 70/100 Agent Readiness: Ready Level: ASO-4 Trustable — Agents can verify trust, reputation, and operational signals.

Discoverability 20/20 Identity 15/20 Trust 11/15 Commerce 5/15 Reputation 4/15 Memory 15/15

What it checks — 34 signals across 6 pillars

Find gaps in discovery, trust, interoperability, and commerce — every emerging agent standard in one scan:

Pillar / CategoryChecks
Discoveryrobots.txt, sitemap.xml, Link headers, DNS-AID (_agent. ), /.well-known/ai
ContentMarkdown content negotiation, llms.txt, LLM-readable docs (/index.md, llms-full.txt)
Bot AccessExplicit AI crawler rules (GPTBot, ClaudeBot, Google-Extended, PerplexityBot…), Content Signals, Web Bot Auth
InteroperabilityAPI Catalog (RFC 9727), OAuth discovery (RFC 8414), OAuth Protected Resource (RFC 9728), auth.md, MCP Server Card (/.well-known/mcp/server-card.json), Google A2A Agent Card (/.well-known/agent-card.json, required fields validated), Agent Skills, WebMCP
Commercex402, MPP, UCP, ACP, machine-readable pricing
Identity & TrustHTTPS enforcement, JSON-LD/schema.org, agent-friendly browser UX, OpenAPI, agent.json, security.txt, status endpoint, versioning, cross-file identity & signal consistency

Deterministic x402 v2 endpoint audit

The MCP tool audit_x402_endpoint complements the origin-wide ASO scan with a no-spend protocol audit of one paid endpoint. It returns a 0-100 score, A-F grade, compliance verdict, per-check booleans, failed checks, and observed schemes/networks/extensions. It validates the live 402 challenge but never sends PAYMENT-SIGNATURE, so it cannot authorize or settle a payment.

Checks: HTTPS/TLS, HTTP 402, PAYMENT-REQUIRED, Base64 JSON, x402Version: 2, non-empty accepts, CAIP-2 networks, required payment fields, and JSON content type. For body-gated routes, pass method, body, and optionally content_type.

This is deliberately reported separately from the ASO Score: protocol compliance does not prove discoverability, trust, settlement, idempotency, or paid-response quality.

Living standards model

Agent protocols are changing quickly. The scanner is maintained as part of a living framework: checks are versioned, and stable standards, optional capabilities, release candidates, drafts, and vendor conventions are labeled separately. See the dated scanner source list and the canonical ASO source registry.

Every check returns pass / partial / fail with concrete evidence and a fix recommendation. Results roll up into the six ASO pillars (Discoverability 20, Identity 20, Trust 15, Commerce 15, Reputation 15, Memory 15) → your ASO Score and maturity level.

Install

Requires Node.js ≥ 20. Published on npm as @forgemeshlabs/aso-audit-mcp — no clone or build needed.

npm install -g @forgemeshlabs/aso-audit-mcp

Or skip the install entirely and run it with npx (recommended for MCP clients):

npx -y @forgemeshlabs/aso-audit-mcp
Claude Code
claude mcp add aso -- npx -y @forgemeshlabs/aso-audit-mcp
Claude Desktop / Cursor / Windsurf (any MCP client)
{

"mcpServers": { "aso": { "command": "npx", "args": ["-y", "@forgemeshlabs/aso-audit-mcp"] } } }

Development (from source)

Only needed if you're hacking on the scanner itself:

git clone https://github.com/forgemeshlabs/aso-audit-mcp

cd aso-audit-mcp npm install && npm run build claude mcp add aso -- node /path/to/aso-audit-mcp/dist/index.js

Tools

ToolWhat it does
list_toolsFree menu: every tool below with its price (all $0) — for agents that pick before calling
scan_siteFull ASO scan → Agent Readiness Report: ASO Score, level, pillar breakdown, all 34 checks with evidence + recommendations
get_fix_planPrioritized remediation plan with ready-to-paste templates (robots.txt AI rules, llms.txt, agent.json, A2A agent card, MCP server card, x402 manifest, pricing.json, security.txt, status endpoint)
check_signalRun one specific check (e.g. a2a-agent-card, llms-txt, x402)
list_checksCatalog of every check with spec links
get_aso_frameworkThe ASO rubric: pillars, weights, levels, certification thresholds

Try it: *"Scan example.com for agent readiness"* · *"What's my ASO score?"* · *"Give me a fix plan to make my site agent-ready."*

CLI smoke test (from a source checkout)
npm run smoke -- https://your-site.com

Glama / registry metadata

This repository includes glama.json for Glama MCP registry ownership and install metadata.

  • Package: @forgemeshlabs/aso-audit-mcp
  • Current release: v0.4.4
  • Transport: local stdio
  • Authentication: none required for local stdio use. The scanner does not ask for API keys, tokens, cookies, or third-party credentials.
  • HTTP deployment: not enabled by this npm package. Any public HTTP deployment of this scanner must add authentication, per-client rate limits, request logging, and an egress policy before exposure.

Recommended Glama/MCP install command:

npx -y @forgemeshlabs/aso-audit-mcp

Example usage after connecting the server to an MCP client:

Scan https://example.com for agent readiness.

Give me the ASO fix plan for example.com. Check only the llms-txt signal for example.com. List the ASO scanner checks.

Release verification:

  • Git tag: v0.4.4
  • npm package: @forgemeshlabs/aso-audit-mcp
  • MCP server version: 0.4.5 (read from package.json at startup)

Since v0.2.0 the server includes the deterministic no-spend x402 v2 endpoint compliance audit while preserving the broader ASO Agent Readiness score as a separate metric.

Glama release build

Glama installability requires a Glama release, which is a containerized build created from the Glama Dockerfile admin page, not a GitHub release. This repo includes a production Dockerfile and GLAMA.md with the build spec values to use in Glama:

Build steps:

npm ci

npm run build npm prune --omit=dev

Runtime command:

node dist/index.js

In Glama's CMD arguments field, enter:

["node", "dist/index.js"]

Do not leave CMD arguments as []; Glama validates that field separately from the Dockerfile CMD.

The ASO framework

SEO ranks pages for people. ASO prepares services for agent selection, invocation, payment, and repeat use.

LevelNameScore
ASO-0Invisible0–9
ASO-1Discoverable10–29
ASO-2Understandable30–49
ASO-3Invocable50–69
ASO-4Trustable70–89
ASO-5Autonomous-Commerce-Ready90–100

Scores from this scanner are directional self-assessments. ASO Certification (ASO-3+) requires verified evidence — see the scoring rubric and agentsignaloptimization.com for audits, certification, and the full framework.

Sponsored cards (Lulu Ads)

There is no paid ForgeMesh server behind this MCP — every tool fetches the scanned site directly — so a Lulu Ads card can only attach client-side, and only to list_tools. It is a plain, labelled data field on the JSON result, never text the model could read as an instruction:

"sponsored": { "label": "Sponsored", "text": "...", "url": "https://..." }
  • This package ships no ad credentials. A card renders only when the operator running the MCP sets LULU_ADS_PUBLISHER_ID and LULU_ADS_API_KEY (both required). For an end user running npx -y @forgemeshlabs/aso-audit-mcp with no creds, the package makes zero calls to the ads network and no card ever appears.
  • LULU_ADS_ENABLED=false is a kill switch. Scan/audit tools never touch the SDK.
  • Fail-open: any SDK error or timeout (hard budget 2s) returns the original response unchanged. The only external host contacted by this package, other than the sites you ask it to scan, is ads.getlulu.dev. Scanned-site requests all go through the SSRF-guarded client (private-IP refusal, pinned DNS, 10 s timeout, 512 KB response cap, revalidated redirects).
  • Strip it: delete result.sponsored.

Security

This scanner makes outbound requests to URLs you give it, so it is built to resist SSRF abuse:

  • Scheme allow-list — only http/https; file:, ftp:, gopher:, data: etc. are rejected.
  • Private-target blocking — after DNS resolution, requests to loopback, private (RFC 1918), link-local, CGNAT, reserved, multicast, and the cloud metadata address (169.254.169.254) are refused. IPv6 loopback/ULA/link-local and IPv4-mapped forms are covered too. If a hostname resolves to *any* private address, the scan is refused.
  • Pinned-IP transport — each request dials the exact public IP that was validated, while TLS still verifies the original hostname. This closes the validate-then-connect DNS rebinding window.
  • Manual redirect validation — automatic redirect following is disabled; every hop is re-validated against the same rules, capped at 5 redirects. A public URL that 30x-redirects to an internal address cannot slip through.
  • Untrusted remote content — parsed manifests are omitted from tool output by default (include_artifacts: true to opt in, and they are then explicitly labeled untrusted); embedded text excerpts are control-char-sanitized and length-capped. Treat any returned remote content as data, never instructions.
  • Bounded — GET only, ASO-Scanner/1.0 UA, max 6 concurrent, 10s timeout, 512KB body cap. Never authenticates, never POSTs, never crawls beyond well-known paths.
  • Tested hardening — npm test covers unsafe URL rejection, private IP ranges, artifact sanitization, redirect blocking, redirect hop caps, and the test-only loopback escape hatch.

Deployment: stdio (local, per-user) is the safe default. A public HTTP deployment is a network-egress tool and must add authentication, per-client rate limiting, request logging, and an egress policy before exposure.

  • Reputation signals (citations, reviews, success rates) cannot be auto-verified by a crawler; they are reported as manual and scored 0 until verified by audit — so the

只显示了开头部分;其余内容请在仓库中阅读

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