Context7
by upstash
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud★ 64,224MITUpdated today
Install
Website Auditor
Overview
Description from the maker (original English)
AI visibility in ChatGPT, Gemini, Claude, Perplexity, Copilot & AI Overviews, plus site audits.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Search & AI memory
- You need to fill in: WA_API_KEY
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
WA_API_KEY,WA_API_BASE_URL
Values marked secret are keys to your account. Never share them or paste them into a chat.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"website-auditor": {
"command": "npx",
"args": [
"-y",
"website-auditor-mcp"
],
"env": {
"WA_API_KEY": "your-value",
"WA_API_BASE_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add website-auditor --env WA_API_KEY=your-value --env WA_API_BASE_URL=your-value -- npx -y website-auditor-mcpFill in the empty values before running it.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"website-auditor": {
"command": "npx",
"args": [
"-y",
"website-auditor-mcp"
],
"env": {
"WA_API_KEY": "your-value",
"WA_API_BASE_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"website-auditor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"website-auditor-mcp"
],
"env": {
"WA_API_KEY": "your-value",
"WA_API_BASE_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
Values you fill in
- Optional: get_sample_audit works with no key and returns a full report in the real output format. Every other tool requires a key, and minting one requires an active Website Auditor subscription ($49…
WA_API_BASE_URLenvBase URL of the Website Auditor API this server wraps. Defaults to the public production host.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account SpikeyCoder, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 7249 servers in this category
- Published to the registry more recently than 94% of the other 7249 servers in this category
- Basic checks equal to or better than 100% of the other 7249 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Website Auditor safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
You need to fill in: WA_API_KEY
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.0.29) reached the registry 2 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
by DeusData
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer★ 48,148MITUpdated 20 days ago
Install
Exa
by exa-labs
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud★ 5,213MITUpdated last month
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Website Auditor MCP
An MCP server for [website-auditor.io](https://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, Gemini, Microsoft Copilot and Google AI Overviews, 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, Microsoft Copilot, Google AI Overviews) + 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). Also recommendation_gap (points behind the top beatable rival in the answers that *recommend* you, overall and per engine, with one sentence to read back; marketplaces, delivery apps, directories and national chains are not beatable rivals) and stance_counts (answers that recommended, mentioned or cautioned against you), each present only when measured. Also questions_asked: the questions put to the assistants for the score, when the report recorded them. |
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. Also recommendation_gap and stance_counts (see get_ai_visibility), each present only when measured. |
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); summary says the change in plain sentences; 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. Also recommendation_gap: how far behind the competitor you trail most you are (ties on identical counts are all named), each side as a share of its own answers, over the assistants that answered for BOTH sites; same_questions says whether both audits asked the same set of questions (null when either did not record them) and assistants which assistants the figures are over. Present only when both audits recorded stances. |
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. |
list_fixes | Pro | A tracked site's ready-made fixes ("Get this fix"), top first: whether each is needed and why, whether the site's platform can take it, and its newest request and status (live / missing). Records nothing. |
get_fix_facts | Pro | The business facts the fixes are written from, to show the owner: what the site says, what they confirmed, the business name the audits found, and seen (exactly what was shown, sent back unchanged to confirm). |
get_fix | Pro | "Get this fix": the fix served finished (structured data plus About/FAQ text, an llms.txt, or robots.txt lines that let blocked AI assistants in), the first two written only from the owner's confirmed facts, each block ready to copy, with paste steps for the site's platform and copy_all where an agent edits the site. Each call is recorded as a request. Before the facts are confirmed it answers status: "confirm_first" with the facts to show the owner; when the newest audit found nothing to change, status: "nothing_to_fix". |
confirm_facts | Pro | Confirms the facts the owner confirmed or corrected, sending back exactly the seen they were shown — never on the owner's behalf. status: "facts_changed" when the site changed since. |
check_fix | Pro | "I've added it": reads the live site for a fix request and says it's live or names what's missing. Once a minute per request (CHECKED_RECENTLY with retry_after). |
check_upgrade_status | Any valid key | Your own subscription standing — tier, status, period end, and what upgrading unlocks (starting Pro requires a payment method and accepting the Terms). Consumes no audit quota. |
Prompts
Clients that support MCP prompts (Claude Desktop, claude.ai) render these as something you can pick from a menu, so you don't have to phrase the request yourself or know which tool to ask for. In clients that don't surface prompts (Codex, currently), nothing is lost but the menu — ask in words and the same tools run.
| Prompt | Needs a key? | What it does |
|---|---|---|
| See a sample report | No | Walks through a complete report for example.com. No arguments, no setup — one click from any install. |
| Check my AI visibility | Pro | Runs get_ai_visibility for a domain you name, then explains the score, which assistants name the business, and who is named instead. |
| Run a full site audit | Pro | Runs run_audit for a domain and summarises it by category, with the three fixes that matter most. |
| Compare me to a competitor | Pro | Runs compare_competitors for your domain against a named rival, and explains where they get named and you don't. |
Each Pro prompt falls back to get_sample_audit when no API key is configured, so you always get output rather than an error.
Naming the business (optional)
get_ai_visibility and run_audit both accept two optional arguments that decide *what question* the AI-visibility check actually asks. compare_competitors accepts business_location only — see below for why it takes no name:
| Argument | Omitted | Supplied |
|---|---|---|
business_name | Detected from the site, and flagged with name_warning when it could not be verified | Taken as fact and recorded as caller-supplied — which suppresses the warning |
business_location | Detected from the site; if nothing is found the questions widen to the country, or drop the place entirely | Scopes the questions to that place |
Supply a name only when you actually know it. A supplied name overrides detection and is treated as confirmed, so a guess is scored exactly as if a human had verified it — and silences the warning that would have told you otherwise. Leaving it out is the safer default: detection is transparent about its own uncertainty.
The same applies to location, in the other direction. Omitting it is correct for a national or global business and wrong for a local one, since a local business measured without a place is measured against the wrong queries.
On `compare_competitors`: it takes business_location and applies it to your site *and every competitor*, because a comparison asks about one market — scoring you locally while scoring your rivals globally would rank the answers to two different questions. It deliberately takes no business_name: a name identifies one business, and forwarding yours to your competitors would score every one of them as you. The result names the market it used, so a scoped comparison is never mistaken for a global one.
"Check AI visibility for hawaiibackroad.com,the business is Big Island Backroad Adventures in Hilo, HI"
Install & configure
The server runs directly via npx — no clone or build required.
Try it before you buy it. Install with no API key at all and ask your agent for a *sample audit* — get_sample_audit returns a full report for example.com in the exact format a real run produces, so you can check the shape fits your needs first.
Pricing. Auditing real domains needs a Website Auditor subscription at $49/month — eligible new customers get a 7-day free trial (payment method required to start; no charge until the trial ends; customers who used a trial in the last 12 months are billed immediately). Sign up and create an API key at [api.website-auditor.io/admin_portal](https://api.website-auditor.io/admin_portal/?source=mcp), then set it as WA_API_KEY below. There is no free API tier — a key only functions with an active subscription.
Claude Desktop (claude_desktop_config.json), Cursor (~/.cursor/mcp.json), and most other clients use the same mcpServers shape:
{"mcpServers": { "website-auditor": { "command": "npx", "args": ["-y", "website-auditor-mcp"], "env": { "WA_API_KEY": "wa_your_key_here" } } } }
Claude Code — add it from the CLI:
claude mcp add website-auditor -e WA_API_KEY=wa_your_key_here -- npx -y website-auditor-mcpCodex — the CLI, IDE extension and ChatGPT desktop app all read the same ~/.codex/config.toml, so one of these covers all three:
codex mcp add website-auditor --env WA_API_KEY=wa_your_key_here -- npx -y website-auditor-mcp[mcp_servers.website-auditor]command
Only the beginning is shown; read the rest in the repo