Updated August 21, 2026
Is there an MCP server for AI visibility tracking?
Yes, several. Asking ChatGPT or Perplexity this exact question, in our own testing, came back vague with no product named, even though at least 20 real tools already exist. Here they all are, checked directly, dated, so this stays accurate instead of stale.
Where Vantage fits
Three things the other tools on this page don't do - plus how to check none of this is a self-reported claim.
Diagnoses, not just reports
analyze_citation_gap diffs your own page's structure against the AI-cited winner for the same keyword - concrete gaps to close, not just who won.
See the winning shape
analyze_citation_structure (batchable, up to 10 topics) and analyze_citation_trend cover the shape and the trend line - no separate dashboard either.
Free, answered inline
No card, no dashboard tab to open - runs and answers directly inside your coding agent.
Verified listingPublished on the Official MCP Registry as dev.vantagemcp/vantage · source at github.com/vantagemcp/vantage-mcp · MIT licensed
Small, MCP-native servers
Independent projects built specifically as MCP servers. Star counts are all low single digits, this is a genuinely new, immature category, not a sign anything here is broken.
| Server | What it does | Stars | Install |
|---|---|---|---|
| sharozdawa/AI Visibility Tracker | Tracks mentions, sentiment, position, and competitors across ChatGPT, Perplexity, Claude, and Gemini, scoring 0-100. | 8 | npx -y ai-visibility-mcp |
| optifeed/Optifeed Radar | Local-first CLI/MCP checking whether ChatGPT, Perplexity, Gemini, and Claude recommend your brand vs. competitors, using your own API keys. | 5 | npx optifeed-radar audit yourbrand.com |
| bestaiinsider/ai-visibility-mcp | Audits and fixes AI-bot visibility: per-bot robots.txt, JSON-LD, llms.txt, LLM brand-mention checks, competitor compare. | 1 | git clone + uv sync (Python 3.10+) |
| SEOcrawl/SEOcrawl AI MCP | Hosted MCP pulling GSC/GA4 data and tracking AI-visibility (ChatGPT, Claude, Gemini, Perplexity) inside chat, 38 tools. | 1 | hosted, OAuth sign-in |
| maxaeo/MaxAEO AI Visibility MCP | Local-first MCP checking llms.txt, robots, sitemap, canonical, JSON-LD and AI-crawler readiness with a 7-day action plan. | 1 | npx -y maxaeo-ai-visibility-mcp |
| Convrgent/AEO Scanner MCP | AEO/GEO/Agent-Readiness scores. Free scan tool; paid audit/compare/fix tools via x402 (USDC). | 1 | hosted or uvx aeo-scanner |
| vipulawl/SellOnLLM AI Visibility | Hosted MCP running AEO site crawls plus optional Perplexity Sonar citation checks for Claude. | 0 | hosted, Google sign-in |
| andrew7carlin/Local AI Visibility | Free, no-signup MCP checking whether AI assistants recommend a specific local business, with a Share-of-Model score. | 0 | hosted, no signup |
| piiiico/AEO Audit MCP Server | Free, no-auth MCP scoring a website's AI visibility (0-100, letter grade) across schema, meta tags, and AI-crawler signals. | 0 | hosted, no auth |
Funded platforms with an MCP server
Established or venture-funded SaaS products in AI-visibility/GEO/AEO tracking that also ship an MCP server. Several gate real MCP access behind a paid or Enterprise tier rather than offering it broadly, marked below.
| Product | What it does | MCP access | Starting price |
|---|---|---|---|
| Peec AI | Tracks visibility, sentiment, and citations across 7 engines including Copilot and Grok. | All plans | Custom |
| Conductor — AI Visibility | Enterprise SEO platform's AI Visibility module, official platform APIs not scraping. | Yes | $30K-150K+/yr (est.) |
| Semrush AI Visibility Toolkit | Add-on inside Semrush tracking mentions across 5 engines alongside classic rank tracking. | Included | ~$99/mo |
| Knowatoa | Tracks how AI engines describe/position a brand across 5 engines. | Growth plan only | $199/mo |
| Profound | "Agent Analytics" platform tracking brand presence, citations, and referral traffic. | Enterprise only | Custom |
| Guzu.ai | Tracks citations/mentions across 6 engines with alerts and competitor benchmarking. | Free dev account (250 credits) | $79-779/mo |
| Rank Prompt | Monitors and optimizes visibility across 6 engines. | Yes | ~$39/mo |
| Writesonic | AI content + visibility platform tracking citations across 10 engines. | Paid plans | $79/mo |
| SearchFit | Automated AEO platform tracking citations across 5 engines, auto-generates AI-optimized content. | Yes | $99/mo |
| DigestSEO GEO Tracker | Open-source AI-visibility tracker + technical SEO auditor across 5 engines. | Yes, MIT licensed | Free (self-hosted) |
| MentionsAPI | Developer-focused API checking brand mentions/ranking across 7 engines from one endpoint. | Yes | Free 300 credits, then $5/mo |
A note on the name
This Vantage (dev.vantagemcp/vantage) checks AI-citation visibility. It is unrelated to Vantage MCP from vantage.sh, a cloud cost-management company whose MCP server lets AI assistants query cloud spend, budgets, and cost anomalies. Different product, same name.
What is MCP?
New here and not sure what any of this means? Start with the basics.
What does MCP stand for?
MCP (Model Context Protocol) is an open standard Anthropic introduced in 2024. It's the connection shown in the diagram above: one standard link between an AI assistant and any tool, instead of custom wiring for each one.
MCP vs API - what's the difference?
An API is a private line - built for one specific job, and someone has to wire it up by hand. MCP is more like a universal phone system: any AI assistant can dial into any tool that speaks MCP, without a developer building a new connection every time.
Does MCP make it easier for AI to find my business?
Not automatically. MCP is the connection AI agents use to reach outside tools and data - it doesn't decide what's worth mentioning. That still comes down to whether your content actually gets cited by AI search engines in the first place, which is exactly what Vantage checks and helps you fix.
What are some examples of MCP servers?
Think of MCP servers like apps for AI - each one gives an assistant a new skill. Dozens already exist, from small independent tools to features built into larger platforms.
