TOP GUN GEO-Lens — MCP Brand Visibility Auditor
MCP serverSearchThis is a community-built tool that audits how visible a brand is across LLMs, AI search, and answer engines. Once added, your AI can run these audits and deliver GEO reports and scores that show where a brand stands in AI answers and search results.
Use TOP GUN GEO-Lens — MCP Brand Visibility Auditor in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add TOP GUN GEO-Lens — MCP Brand Visibility Auditor and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the geo quick check tool from TOP GUN GEO-Lens
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Details
Available today. Use it from your connected AI after setup.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
After adding it, ask your AI to audit a brand and it will return a GEO report with scores.
What your AI can do with it
- Audit brand visibility across LLMs
- Audit visibility across AI search and answer engines
- Generate GEO reports
- Produce GEO scores
Install TOP GUN GEO-Lens — MCP Brand Visibility Auditor
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user top-gun-geo-lens-mcp-brand-visib 'https://top-gun-mcp-server.vercel.app/api/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://top-gun-mcp-server.vercel.app/api/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=top-gun-geo-lens-mcp-brand-visib&config=eyJ1cmwiOiJodHRwczovL3RvcC1ndW4tbWNwLXNlcnZlci52ZXJjZWwuYXBwL2FwaS9tY3AifQ==Open the link and Cursor adds the server at that address.
ChatGPT
https://top-gun-mcp-server.vercel.app/api/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add top-gun-geo-lens-mcp-brand-visib --url 'https://top-gun-mcp-server.vercel.app/api/mcp'Run it once, then sign in with codex mcp login top-gun-geo-lens-mcp-brand-visib if the server asks for an account.
From the project's README
As published by spacemandomains/top_gun_mcp_server in README.md.
For AI Agents: This is an MCP server. Connect it, call its tools, and instantly know whether any brand is visible to LLMs and AI search engines — with actionable recommendations to improve it.
What This Does
TOP GUN GEO-Lens measures how visible a brand is across the sources that power AI answers: Brave AI Search, Exa neural search, and LLM-indexed content. It returns a scored report with citations, index status, and concrete GEO (Generative Engine Optimization) recommendations.
Use it when an agent needs to answer questions like:
- "Is [brand] showing up in AI-powered search results?"
- "Why isn't [brand] being recommended by AI assistants?"
- "What should [brand] do to rank higher in LLM outputs?"
Tools
geo_quick_check — $0.05 USDC
Fast snapshot of brand visibility in AI-indexed sources.
| Output | Detail |
|---|---|
| Visibility score | 0–100 |
| Score label | Strong / Moderate / Weak / Not Found |
| Top 3 citations | URL, title, snippet, source |
| 2 quick tips | Actionable GEO improvements |
{
"tool": "geo_quick_check",
"query": "Stripe",
"paymentToken": "<stripe-session-id>"
}
audit_brand — $1.50 USDC
Full brand visibility audit using dual search (Brave + Exa, 10 results each).
| Output | Detail |
|---|---|
| Visibility score | 0–100 |
| Score label | Strong / Moderate / Weak / Not Found |
| Top 5 citations | URL, title, snippet, source, position |
| LLM index status | Brave indexed, Exa indexed, estimated reach |
| 6 GEO recommendations | Prioritized, actionable improvements |
{
"tool": "audit_brand",
"query": "Anthropic",
"paymentToken": "<stripe-session-id>"
}
get_payment_info — Free
Returns payment URLs and USDC wallet address for both tiers. Call this first if you don't have a payment token.
{
"tool": "get_payment_info"
}
Agent Workflow
1. Call get_payment_info → get payment URLs
2. Direct user to payment link → user pays $0.05 or $1.50 USDC
3. User provides Stripe session ID
4. Call geo_quick_check or audit_brand with paymentToken
5. Parse structured results → score, citations, recommendations
If paymentToken is omitted, the tool returns a payment link instead of results — no error thrown.
Connecting to Claude / MCP Clients
Add to your claude_desktop_config.json (or equivalent MCP config):
{
"mcpServers": {
"top-gun-geo-lens": {
"command": "node",
"args": ["/path/to/top_gun_mcp_server/dist/index.js"],
"env": {
"STRIPE_SECRET_KEY": "sk_live_...",
"STRIPE_PAYMENT_URL": "https://buy.stripe.com/...",
"STRIPE_QUICK_CHECK_PAYMENT_URL": "https://buy.stripe.com/...",
"BRAVE_SEARCH_API_KEY": "BSA...",
"EXA_API_KEY": "...",
"USDC_WALLET_ADDRESS": "0x..."
}
}
}
}
Setup
git clone https://github.com/spacemandomains/top_gun_mcp_server
cd top_gun_mcp_server
npm install
cp .env.example .env # fill in your keys
npm run build
npm start
Required env vars:
| Variable | Required | Description |
|---|---|---|
STRIPE_SECRET_KEY | Yes | Stripe secret key for payment verification |
STRIPE_PAYMENT_URL | Yes | Payment link for full audit ($1.50 USDC) |
STRIPE_QUICK_CHECK_PAYMENT_URL | Yes | Payment link for quick check ($0.05 USDC) |
BRAVE_SEARCH_API_KEY | No* | Brave Search API key |
EXA_API_KEY | No* | Exa neural search API key |
USDC_WALLET_ADDRESS | No | USDC wallet address shown to payers |
*At least one search API key is required for results.
Pricing Summary
| Tool | Cost | Best For |
|---|---|---|
geo_quick_check | $0.05 USDC | Quick sanity check, high-volume workflows |
audit_brand | $1.50 USDC | Deep audit, client reports, GEO strategy |
Tech Stack
- Runtime: Node.js ≥ 18, TypeScript
- Protocol: Model Context Protocol (
@modelcontextprotocol/sdk) - Search: Brave Search API + Exa neural search
- Payments: Stripe + USDC on-chain
- Deploy: Vercel-ready
For AI Agents — Key Facts
- Transport:
stdio - No streaming — all responses are single text blocks
- Scores range 0–100;
>= 70= Strong,40–69= Moderate,1–39= Weak,0= Not Found - Payment tokens are Stripe Checkout Session IDs (format:
cs_live_...) - Calling any paid tool without a token returns a structured payment prompt, not an error
audit_brandis strictly more detailed thangeo_quick_check; use quick_check for speed/cost, audit for depth
Tools it offers (3)
What this server listed when Ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.
geo_quick_checkaudit_brandget_payment_info
Signals
- GitHub stars
- 1
- Last commit
- May 2026
Advanced
- Delivery
- top-gun-geo-lens MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-spacemandomains-top-gun-geo-lens- Source
- github.com/spacemandomains/top_gun_mcp_server
- Hosted endpoint
https://top-gun-mcp-server.vercel.app/api/mcp
github.com/spacemandomains/top_gun_mcp_server