Vantage
MCP serverDev toolsChecks if ChatGPT and Google AI Overviews cite your site for a keyword, and who they cite instead.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use Vantage
From the project's README
As published by vantagemcp/vantage-mcp in README.md.
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?"
check_ai_visibility — deprecated
Still works, but costs 10 units for a bare count with no context. Use
check_prompt_coverage (1 unit/keyword) or analyze_citation_trend
(already includes the current count) instead.
check_prompt_coverage
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 (mentioned_not_cited: 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?"
find_citation_leaders
Who dominates AI-answer citations for a topic, and whether a domain is among them.
"Who's winning AI search for this?"
analyze_citation_trend
Month-by-month mention counts for a domain, so you can see whether visibility is growing or fading.
"Is our AI visibility improving?"
analyze_citation_structure
How the winning AI answer for a topic is actually shaped: list-led, sources cited, opening length.
"What does a winning answer look like?"
analyze_citation_structure_batch
Same as analyze_citation_structure, 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?"
analyze_citation_gap
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
This repo is the MCP server itself: API-key auth, usage metering, one tool per read (see Tools above). Billing and account provisioning are a separate internal service, not included here.
uv pip install -e .
export DATAFORSEO_USERNAME=...
export DATAFORSEO_PASSWORD=...
# stdio (local MCP client, e.g. Claude Desktop config pointing at this command)
python -m vantage_mcp.server
# streamable-http (network service, bind to loopback behind your own reverse proxy)
export VANTAGE_PORT=8420
python -m vantage_mcp.server --http
Requires a DataForSEO account for the underlying SERP/AI-answer data.
License
MIT
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- vantage MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
dev-vantagemcp-vantage- Source
- github.com/vantagemcp/vantage-mcp
- Hosted endpoint
https://vantagemcp.dev/mcp