Agent Audit MCP server
io.github.fullstackdegen/agent-audit·v0.3.1·5 starsTurn Lighthouse audits into coding-agent fix packs for Claude Code, Cursor, and Copilot.
5 stars48 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Agent Audit tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it
- Code scan37 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 25 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Agent Audit compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 92/100
- higher than 90% of 4,460 AI and agents servers
- GitHub stars
- 5
- more than 78% of 2,711 AI and agents servers
- Downloads a week
- 48
- more than 40% of 1,538 AI and agents servers with a package
Install Agent Audit in Claude Code, Cursor or VS Code
Runs npx -y @fullstackdegen/agent-audit on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add agent-audit -- npx -y @fullstackdegen/agent-audit
What the publisher says
From the Agent Audit repository's README, as published. We do not edit it. Read it on GitHub
Agent Audit
Lighthouse-powered MCP server for AI coding agents, Core Web Vitals, technical SEO, accessibility, and GEO/LLM visibility audits.
🔗 NPM Package
Agent Audit turns Google Lighthouse and bounded page-inspection results into structured fix packs that coding agents can actually execute. It gives Claude Code, Codex, Cursor, GitHub Copilot, and other MCP clients a prioritized, evidence-backed backlog instead of a raw performance report.
Turn Lighthouse audits into coding-agent fix packs.
npx -y @fullstackdegen/agent-auditWhy Agent Audit Exists
Lighthouse is excellent for diagnosis, but raw reports are not enough for an autonomous coding workflow. A coding agent still needs to know which issue is most important, whether it affects mobile, desktop, or both, which selectors or resources are evidence, what files to search for, how to verify the fix, and when it is safe to claim completion.
Agent Audit converts Lighthouse output into an implementation contract:
structured data, images, assets, indexability, and AI discovery signals.
- Runs mobile and desktop Lighthouse audits.
- Aggregates repeated runs and exposes variability.
- Adds bounded same-page intelligence for technical SEO, links, metadata,
measurable acceptance criteria.
- Merges noisy audit output into a small prioritized issue list.
- Generates fixPacks with repo search hints, implementation steps, and
- Returns strict MCP structuredContent plus equivalent Markdown.
The goal is simple: give a coding agent a report it can read, reason about, fix, test, and verify.
What It Audits
Agent Audit is useful when people search for:
- Lighthouse-powered MCP server
- AI website audit tool
- coding agent Lighthouse report
- Core Web Vitals automation
- performance audit for Claude Code, Codex, Cursor, or Copilot
- technical SEO audit for AI agents
- accessibility fix packs
- LLM visibility audit
- GEO audit, generative engine optimization, AI search readiness
- llms.txt readiness and AI crawler visibility
Current checks include:
Practices, and SEO.
- Mobile and desktop Lighthouse scores for Performance, Accessibility, Best
JSON-LD, Open Graph, indexability, images, assets, and LLM visibility checks.
- FCP, Speed Index, LCP, TBT, and CLS metric distributions.
- Fast and reliable audit modes.
- Same-origin page inspection with bounded fetch limits.
- Broken links, missing link names, metadata, canonical tags, robots signals,
guidance.
- Conservative llms.txt draft generation when page content is sufficient.
- Prioritized issues with evidence, suggested actions, and acceptance criteria.
- Agent Fix Packs with repo search hints, implementation steps, and verification
- Strict MCP outputSchema validation for structuredContent.
- Markdown generated from the same canonical report.
See a real CommaLabs JSON report and Markdown report.
Install
Requirements:
- Node.js 20 or later.
- Google Chrome or Chromium.
Run the MCP server:
npx -y @fullstackdegen/agent-auditUseful links:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Agent Audit: common questions
- Is Agent Audit MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the Agent Audit safety report
- How do I install Agent Audit?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Agent Audit need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Agent Audit maintained?
- The last commit was 63 days ago (2026-09-02). The latest release is v0.3.1.
- What can I use instead of Agent Audit?
- Servers from other publishers that do the same job: Serena MCP: the IDE for your agent MCP server, Figma Context MCP server and SuperCompress MCP server.
- How does Agent Audit compare with other AI and agents MCP servers?
- safety score 92/100 (higher than 90% of 4,460 AI and agents servers); github stars 5 (more than 78% of 2,711 AI and agents servers); downloads a week 48 (more than 40% of 1,538 AI and agents servers with a package). Full comparison.
Alternatives to Agent Audit
Same job from other publishers: the closest match first, then the best rated.
- Serena MCP: the IDE for your agentA powerful toolkit for coding, providing semantic retrieval and editing capabilities.not reviewedWidely usedC
- Figma ContextGive your coding agent access to your Figma data. Implement designs in any framework in one-shot.not reviewedWidely usedB
- SuperCompressCompress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.not reviewedEstablishedB
- OrcareplayRead, replay and fork recorded coding-agent runs.not reviewedEstablishedA
- Roast My Design SystemAudit your Design System and serve your Agent the rules that keep AI-written UI on-system.not reviewedEstablishedA