Brand visibility auditing across LLMs, AI search, and answer engines with GEO reports and scores.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-spacemandomains-top-gun-geo-lens": {
"command": "<see-readme>",
"args": []
}
}
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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.
No automated test available for this server. Check the GitHub README for setup instructions.
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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.
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:
geo_quick_check — $0.05 USDCFast 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 USDCFull 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 — FreeReturns payment URLs and USDC wallet address for both tiers. Call this first if you don't have a payment token.
{
"tool": "get_payment_info"
}
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.
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..."
}
}
}
}
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.
| Tool | Cost | Best For | |------|--