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SpikeyCoder/website-auditor-mcp

SpikeyCoder/website-auditor-mcp

Website Auditor MCP An MCP server for **website-auditor.io** — AI-visibility (GEO) and site-audit tools you can call from any MCP client (Claude Desktop, Claude Code, Cursor, Codex, and other agents).
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Config template (adjust for your client)
claude mcp add website-auditor-mcp -- npx -y website-auditor-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
1 ★ · SpikeyCoder/website-auditor-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-10 · last seen 2026-10-16 · seen 30× · listed by 6 sources
Score
score 603 · 1 ★ · 6 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository SpikeyCoder/website-auditor-mcp;first catalogued 2026-10-10;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

Website Auditor MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

An MCP server for **website-auditor.io** —
AI-visibility (GEO) and site-audit tools you can call from any MCP client
(Claude Desktop, Claude Code, Cursor, Codex, and other agents).
Ask an agent *"does ChatGPT recommend my business?"*, *"what's my AI-visibility
score?"*, *"audit example.com"*, or *"how do I stack up against my competitors?"*
and it answers with real data — an overall AI-visibility score (0–100), a
per-engine breakdown across **ChatGPT, Perplexity, Claude and Gemini**, a full
site audit (security, performance, crawlability and markup), competitor comparisons, and ongoing
monitoring.
The server is a thin, authenticated wrapper over the Website Auditor API — the
audit engine, AI-visibility scoring and monitoring live in that service; this
server just makes them available to agents.
---
Tools
| Tool | Tier | What it does |
|---|---|---|
| get_sample_audit | **Free — no key** | A complete sample report for example.com in the exact shape a real audit returns. Needs no API key, no subscription and no network. Try this first to see what you'd be buying. |
| get_ai_visibility | **Pro** | Current AI-visibility score (0–100) + per-engine breakdown (ChatGPT, Perplexity, Claude, Gemini) + the top competitor appearing in your place. Pro subscribers also get trend: 7- and 30-day score movement from stored snapshot history for the question this audit asked, ending at its snapshot and compared only between measured snapshots that asked it, the overall further only between endpoints the same engines answered (a window engines differed over carries its engine deltas and an overall_note saying which answered each; null, with a note, when the audit stored no measured snapshot). |
| run_audit | **Pro**, rate-limited | Full one-time audit → category scores (AI visibility, crawlability and markup as seo, security, performance) + top issues + a shareable report URL. |
| get_changes | **Pro** | What changed in the AI-visibility score — the change in the overall score and the per-engine score changes, for engines measured both times, the overall only when the same engines answered both snapshots (else it is null with an overall_note naming which answered each, and the per-engine changes stand alone); competitor_changes, new_issues and resolved_issues are always empty. Only between two snapshots that asked the same question (the same business name, market and queries), read from the domain's series: its measured weekly re-audits and any audit that asked the same question as the newest recorded one, while it has no gap longer than four weeks and a day from the newest weekly re-audit that recorded its question, through each later snapshot of the series (weekly re-audits included, recorded or not), to the newest measured snapshot. When there is no such pair it says why instead of a number, with the date the series re-baselined when it did. The domain need not be tracked: history accrues from any audit of it, tracked or not — track_site adds the weekly re-audits to the series, it is not a precondition. |
| compare_competitors | **Pro** | Head-to-head AI-visibility ranking against named competitor domains + where each appears that you don't. Quota-aware: caps the audit fan-out to your remaining daily quota, reuses recent cached audits, and reports any competitors it had to skip rather than dropping them silently. |
| track_site | **Pro** | Start (or stop) weekly monitoring of a site's AI visibility. Its weekly re-audits join the history get_changes reads from, which audits accrue tracked or not — monitoring watches a site, it does not enable get_changes. |
| untrack_site | **Pro** | Stop monitoring a site and free up a monitoring slot. Deletes the site's monitoring enrollment; past audits are kept. |
| list_tracked_sites | **Pro** | List the sites you're monitoring, with cadence, active state, and slots used/remaining. |
| get_monitoring_status | **Pro** | A glanceable dashboard across all tracked sites — latest score of each site's series (the series get_changes reads), the date of each one's last scheduled run and when the next runs, and the most recent like-for-like change (or a note, or the summary, saying why there is none), shown as its per-engine changes with a note naming the engines when different ones answered the two snapshots; like get_changes, its change carries competitor_changes, new_issues and resolved_issues, always empty. |
Source
awesome · https://github.com/SpikeyCoder/website-auditor-mcp
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