Agent Readiness Auditor MCP server
io.github.asish-singh/agent-readiness-auditor·v0.5.0·1 starsAudits any website for AI agent readiness and safety, scoring prompt injection risk and llms.txt.
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1 stars47 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Agent Readiness Auditor tools
No tool declarations could be read from the package source. They show once the server is installed.
How Agent Readiness Auditor compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 85/100
- higher than 73% of 4,460 AI and agents servers
- GitHub stars
- 1
- more than 50% of 2,711 AI and agents servers
- Downloads a week
- 47
- more than 39% of 1,538 AI and agents servers with a package
Release history: 2 versions in the registry since 2026-07-12, latest 2026-10-11, typically one every 92 days.
Install Agent Readiness Auditor in Claude Code, Cursor or VS Code
Runs npx -y agent-readiness-auditor on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add agent-readiness-auditor -- npx -y agent-readiness-auditor
What the publisher says
From the Agent Readiness Auditor repository's README, as published. We do not edit it. Read it on GitHub
Agent Readiness Auditor
A command-line tool that scans a website and scores how well it works with, and how well it defends against, automated AI agents.
What problem this solves
AI assistants increasingly visit websites on a person's behalf: reading pages, following instructions found on them, and taking actions. This creates two practical issues for site owners:
- Safety. A page can contain text that is hidden from human visitors but still read by an AI agent. That hidden text can carry instructions designed to hijack the agent. This is known as indirect prompt injection.
- Readability for machines. Sites are usually built for human eyes. Agents do better when a site also publishes machine-readable signals about its content and its rules.
Standard SEO tools measure how well a site works for search engines. This tool measures something different: how well a site works for AI agents, and whether it is safe for them to read.
Research built with this tool
The State of the Agentic Web, 2026 audits 84 prominent sites across seven categories with this tool, and its second edition reruns the study with the deeper nine check audit. Among the findings, no audited site carries hidden prompt injection content even under attribute level and multi page scanning, only 13% publish the FAQ structured data AI answers quote, no site advertises an MCP endpoint, and nearly one in five prominent sites refuses automated visitors entirely, including several AI companies. The data and method are published for anyone to reproduce.
What it checks
The tool fetches the landing page, robots.txt, llms.txt, and the sitemap, then crawls a few key pages and runs nine checks, producing a score from 0 to 100 and a letter grade from A to F. Safety is weighted highest on purpose, because a readable site that can hijack an agent is worse than one that is simply hard to read.
Example output
$ npx agent-readiness-auditor example.com
Agent readiness audit for https://example.comShortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Agent Readiness Auditor: common questions
- Is Agent Readiness Auditor MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Agent Readiness Auditor safety report
- How do I install Agent Readiness Auditor?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Agent Readiness Auditor need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Agent Readiness Auditor maintained?
- The last commit was 115 days ago (2026-07-12). The latest release is v0.5.0.
- What can I use instead of Agent Readiness Auditor?
- Servers from other publishers that do the same job: Shellward MCP server, Agent Security Scanner MCP server and Agent-Native Analytics MCP server.
- How does Agent Readiness Auditor compare with other AI and agents MCP servers?
- safety score 85/100 (higher than 73% of 4,460 AI and agents servers); github stars 1 (more than 50% of 2,711 AI and agents servers); downloads a week 47 (more than 39% of 1,538 AI and agents servers with a package). Full comparison.
Alternatives to Agent Readiness Auditor
Same job from other publishers: the closest match first, then the best rated.
- ShellwardAI agent security: 7 MCP tools for injection detection, PII scanning, command safety, DLP.not reviewedEstablishedA
- Agent Security ScannerSecurity layer for AI agents: blocks prompt injection, detects fake packages, scans vulnerabilities.not reviewedEstablishedC
- Agent-Native AnalyticsAgent-Native Amplitude/Mixpanel - connect data sources, prompt for chartsnot reviewedEstablishedA
- ImageAI image generation and editing with prompt optimization and quality presetsnot reviewedEstablishedB
- Godot MCPAgent-driven Godot playtesting: editor control, input injection, game-time stepping, live state.not reviewedEstablishedA
