Vantage MCP server

Vantage

Know if AI actually cites you.

Vantage is an MCP server that checks whether ChatGPT and Google's AI Overview cite your brand, callable directly from Claude Code, Cursor, or any MCP client. No dashboard to interpret, just a straight answer.

Try it without installing anything

vantagemcp.dev/check runs a real citation check with no account, no email and no card. Give it a keyword and it returns the measured shape of the answer ChatGPT actually cites for it: whether the answer opens with a list, how long the opening is, how many sources it cites, and which domains those are.

Every answer keeps a permanent page, and they are all listed in check/sitemap.xml.

Published on the Official MCP Registry under the domain-verified namespace dev.vantagemcp/vantage.

Not to be confused with: vantage.sh, a cloud cost-management company with its own, unrelated MCP server also named Vantage. Different product, same name.

Install

Add to your MCP client config:

{
  "mcpServers": {
    "vantage": {
      "url": "https://vantagemcp.dev/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

Try it first with no account at all at vantagemcp.dev/check, or get a free API key (30 quota units a month, no card required) at vantagemcp.dev.

Tools

get_usage

How much of this billing period's quota is left, before spending any of it. Costs 0 units - reads Vantage's own record, never calls the paid data provider.

"How many checks do I have left?"

checkpromptcoverage

Which of several prompts actually cite a specific domain, and which don't - up to 10 keywords in one call. ChatGPT, 1 unit per keyword.

Cited and named are reported separately. An answer can name your brand without linking you (mentionednotcited: the model already knows you, it just isn't citing you) or link a page it never names. Pass brand (e.g. "Notion") so the name check looks for your real brand instead of a guess from the domain.

"Out of everything we care about, where do we already show up?"

findcitationleaders

Who dominates AI-answer citations for a topic, and whether a domain is among them.

"Who's winning AI search for this?"

analyzecitationtrend

Month-by-month mention counts for a domain, so you can see whether visibility is growing or fading.

"Is our AI visibility improving?"

analyzecitationstructure

How the winning AI answer for a topic is actually shaped: list-led, sources cited, opening length.

"What does a winning answer look like?"

analyzecitationstructure_batch

Same as analyzecitationstructure, across up to 10 related topics in one call, for content planning across a cluster.

"What do winning answers look like across this whole topic cluster?"

analyzecitationgap

Diffs your own page's structure against the winning AI-cited answer for the same keyword, so you get concrete gaps to close instead of just the winner's shape.

"What should I actually change on this page to get cited?"

Example

> agent calls find_citation_leaders(
  keyword: "best mood tracker app",
  platform: "chat_gpt"
)

< response
{
  "keyword": "best mood tracker app",
  "platform": "chat_gpt",
  "top_domains": [
    { "domain": "www.reddit.com", "mentions": 59 },
    { "domain": "apps.apple.com", "mentions": 55 },
    { "domain": "en.wikipedia.org", "mentions": 49 },
    { "domain": "www.makeuseof.com", "mentions": 12 },
    { "domain": "play.google.com", "mentions": 11 }
  ]
}

Running your own instance

Shortened. The full README is on GitHub.