Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Check whether ChatGPT, Perplexity and Gemini recommend a business. By Cited (cited.voreli.ai)
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OPENAI_API_KEY, PERPLEXITY_API_KEY, GEMINI_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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": {
"cited": {
"command": "npx",
"args": [
"-y",
"cited-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"PERPLEXITY_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add cited --env OPENAI_API_KEY=your-value --env PERPLEXITY_API_KEY=your-value --env GEMINI_API_KEY=your-value -- npx -y cited-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"cited": {
"command": "npx",
"args": [
"-y",
"cited-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"PERPLEXITY_API_KEY": "your-value",
"GEMINI_API_KEY": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"cited": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"cited-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"PERPLEXITY_API_KEY": "your-value",
"GEMINI_API_KEY": "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.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account impowerdlifestyle-code, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: OPENAI_API_KEY, PERPLEXITY_API_KEY, GEMINI_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 37 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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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.
Cited AI Visibility Check (MCP server)
Ask ChatGPT, Perplexity and Gemini the questions your customers ask, with live web search on, and see whether they recommend your business. By Cited , the AI visibility tracker from Voreli AI .
cited-mcp is an open-source Model Context Protocol server. Add it to Claude Desktop, Claude Code, Cursor or any MCP client, then ask something like:
Check whether AI engines recommend Sunshine Dental (sunshinedental.com) for family dentist questions in Tampa, FL.
For every question and engine it reports:
check_ai_visibility| Argument | Required | Notes |
|---|---|---|
business_name | yes | e.g. Sunshine Dental & Implants, LLC |
website | no | e.g. sunshinedental.com. Used to detect citations of your pages. |
questions | no | 1 to 10 buyer questions. |
category | if no questions | e.g. family dentist. Generates 5 generic buyer questions. |
location | no | e.g. Tampa, FL. Used in generated questions. |
engines | no | Any of openai, perplexity, gemini. Default: every engine with a key. |
Name matching ignores case and punctuation, treats & and and as the same, drops legal suffixes such as LLC, Inc and Co, and also counts a mention of your website domain. Website citation matches the domain and its subdomains against every URL the engine cited.
You bring your own API keys and pay each provider directly. Set any one, two or all three; engines without a key are skipped with a note.
Edit claude_desktop_config.json (Settings, Developer, Edit Config):
{
"mcpServers": { "cited": { "command": "npx", "args": ["-y", "cited-mcp"], "env": { "OPENAI_API_KEY": "sk-...", "PERPLEXITY_API_KEY": "pplx-...", "GEMINI_API_KEY": "..." } } } }
claude mcp add cited -e OPENAI_API_KEY=sk-... -e PERPLEXITY_API_KEY=pplx-... -e GEMINI_API_KEY=... -- npx -y cited-mcp
Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
{
"mcpServers": { "cited": { "command": "npx", "args": ["-y", "cited-mcp"], "env": { "OPENAI_API_KEY": "sk-...", "PERPLEXITY_API_KEY": "pplx-...", "GEMINI_API_KEY": "..." } } } }
Any other MCP client works the same way: run npx -y cited-mcp over stdio with the keys in its environment. Node 20 or newer.
| Variable | Engine | Default model |
|---|---|---|
OPENAI_API_KEY | ChatGPT via the OpenAI Responses API with the web_search tool | gpt-5.4-mini (override with OPENAI_MODEL) |
PERPLEXITY_API_KEY | Perplexity Sonar (search is built in) | sonar (override with PERPLEXITY_MODEL) |
GEMINI_API_KEY | Gemini with Grounding with Google Search | gemini-3.5-flash-lite (override with GEMINI_MODEL) |
The API versions of these engines are close to, but not the same as, the consumer apps. ChatGPT, Perplexity and Gemini in the browser can use different models, personalization and location signals.
This is the tool's real output format, run against the sample responses in test/fixtures, which follow each provider's documented response format (the businesses are made up):
# AI visibility check: Sunshine Dental & Implants (sunshinedental.com)
Estimated provider cost: $0.0229. AI answers change from run to run, so treat one check as a snapshot, not a score. Costs are estimates from token usage at list prices; you pay your provider directly.
Track this weekly with Cited: https://cited.voreli.ai
The tool also returns the same data as structured JSON (structuredContent) for clients that use it.
There is no Cited fee and no account. Each question is one API call per engine, billed to your own provider account at their list prices (checked October 2026):
| Engine | What you pay per question |
|---|---|
OpenAI gpt-5.4-mini | $10 per 1,000 web search calls, plus tokens at $0.75 per 1M input and $4.50 per 1M output. Search results count as input tokens. |
Perplexity sonar | $5 per 1,000 requests (low search context), plus tokens at $1 per 1M. Perplexity reports the exact cost and the tool uses it. |
Gemini gemini-3.5-flash-lite | See Google's current Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing). The cost estimate shows $0 for models without a built-in price; check your Google billing for the real figure. |
In practice that is a few cents or less per question per engine, so a default check (5 questions on 3 engines, 15 calls) should land well under a dollar. Every result includes an estimate computed from the token counts the provider returned. It does not include Gemini grounding fees past the free daily allowance. Check your provider dashboard for the exact charge. Prices change; see OpenAI, Perplexity and Gemini.
PERPLEXITY_API_KEY=your-key npm run live
Uses whichever of OPENAI_API_KEY, PERPLEXITY_API_KEY and GEMINI_API_KEY are set. Override the target with BUSINESS, WEBSITE, LOCATION and QUESTION. A single check costs a few cents.
This server answers "are we named today?". Cited runs the same questions every week across engines, stores the history, and shows which competitors and sources are winning so you can see whether your work is moving the number.
/llms.txt against the llmstxt.org spec, or draft one from its sitemap.npm install
npm test # unit tests against sample responses, no network npm run typecheck npm run build npm run smoke # spawns the server over stdio, lists tools, runs a no-key call
To try it with the MCP Inspector: npx @modelcontextprotocol/inspector node dist/index.js.
MIT. Built by Voreli AI. Questions or ideas: open an issue, or visit cited.voreli.ai.