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  1. Home
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  3. Aso Audit MCP
Aso Audit MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 5:47:17 PM

Aso Audit MCP

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

Open-source MCP server scanning websites/APIs for AI agent readiness with ASO scoring and fix plans.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "forgemeshlabs-aso-audit-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@forgemeshlabs/aso-audit-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (5) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

This MCP server performs an Agent Signal Optimization (ASO) scan on websites or APIs to evaluate their readiness for AI agents. It assesses 34 signals across six pillars including discoverability, identity, trust, commerce, reputation, and memory. The server produces a detailed Agent Readiness Report with scores, evidence, and prioritized remediation plans. It is useful for developers aiming to optimize their sites or APIs for AI agent discovery, trust, and interoperability.

Use cases

β€’Scan websites or APIs for AI agent readiness
β€’Generate detailed ASO scores and maturity levels
β€’Identify gaps in discovery, trust, and commerce signals
β€’Obtain prioritized fix plans with remediation templates
β€’Validate compliance with emerging AI agent standards

Key features

β€’Checks 34 signals across discovery, identity, trust, commerce, reputation, and memory
β€’Validates robots.txt AI rules, llms.txt, agent.json, MCP server cards, and Google A2A agent cards
β€’Supports OAuth metadata, API catalogs, security.txt, status endpoints, and cross-file consistency
β€’Provides pass/partial/fail results with evidence and fix recommendations
β€’Runs locally via stdio with no authentication required
β€’Available as an npm package and runnable via npx

Capabilities & Tool Schemas (5) ~137 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Aso Audit MCP.

scan_site

Full ASO scan β†’ Agent Readiness Report: ASO Score, level, pillar breakdown, all 34 checks with evidence + recommendations

get_fix_plan

Prioritized 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_signal

Run one specific check (e.g. `a2a-agent-card`, `llms-txt`, `x402`)

list_checks

Catalog of every check with spec links

get_aso_framework

The ASO rubric: pillars, weights, levels, certification thresholds

Documentation Overview

aso-mcp β€” the free Agent Readiness Scanner

M8ven Verified

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 β€” 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.

Code
=== Agent Readiness Report: https://example.com ===
ASO Score: 70/100
Agent Readiness: Ready
Level: ASO-4 Trustable β€” 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 β€” 34 signals across 6 pillars

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

Pillar / CategoryChecks
Discoveryrobots.txt, sitemap.xml, Link headers, DNS-AID (_agent.<domain>), /.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) β†’ your ASO Score and maturity level.

Install

Requires Node.js β‰₯ 18. Published on npm as @forgemeshlabs/aso-audit-mcp β€” no clone or build needed.

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

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

Terminal
npx -y @forgemeshlabs/aso-audit-mcp

Claude Code

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

Claude Desktop / Cursor / Windsurf (any MCP client)

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

Development (from source)

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

bash
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
scan_siteFull ASO scan β†’ 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" Β· "What's my ASO score?" Β· "Give me a fix plan to make my site agent-ready."

CLI smoke test (from a source checkout)

Terminal
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: v0.2.0
  • 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:

Terminal
npx -y @forgemeshlabs/aso-audit-mcp

Example usage after connecting the server to an MCP client:

text
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: v0.2.0
  • npm package: @forgemeshlabs/aso-audit-mcp
  • MCP server version: 0.2.0

v0.2.0 adds 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:

Terminal
npm ci
npm run build
npm prune --omit=dev

Runtime command:

bash
node dist/index.js

In Glama's CMD arguments field, enter:

json
["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 β€” see the scoring rubric and agentsignaloptimization.com for audits, certification, and the full framework.

Security

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

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
npm downloads
785
Package downloads in the last 30 days.
Last commit
9d ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Aso Audit MCP

No, the ASO scanner is open-source and runs locally without requiring any API key.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 1, 2026
11/11 checks healthy over the last 32d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit9d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 1, 2026
npm downloads785/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
61Quality signal: Good Β· 61/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools28/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 14d ago via OSV.dev Β· @forgemeshlabs/aso-audit-mcp (npm)

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