How does payment work?
The server uses the Stripe Machine-Payable Protocol. An agent calls the tool, receives a 402 Payment Required response with a Stripe URL, and a human completes the micro-payment to unlock the data.
@Spacemandomains
基本信息
High-intensity Generative Engine Optimization (GEO) auditing for AI agents. This tool allows agents to measure brand visibility and citation strength in LLM search results. It features a native 402 Payment Required handshake for $1.50 micro-payments per audit.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"top-gun-audit": {
"command": "python",
"args": [
"mcp_server.py"
],
"env": {
"TOP_GUN_API_URL": "https://top-gun-live.vercel.app"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Top Gun Geo Lens is a high-intensity Generative Engine Optimization (GEO) tool that allows AI agents to measure brand visibility, citation strength, and indexing status within LLM search results. It is designed for autonomous agent payments using the Stripe Machine-Payable Protocol (MPP) at $1.50 per audit.
Install Python, clone the repository from https://github.com/Spacemandomains/top_gun_live, and add the server configuration to your MCP client (e.g., Claude Desktop). The single tool, audit_brand, scans LLM indices for brand mentions and returns a visibility score after a $1.50 micro-payment is completed via a Stripe URL.
The server uses the Stripe Machine-Payable Protocol. An agent calls the tool, receives a 402 Payment Required response with a Stripe URL, and a human completes the micro-payment to unlock the data.
Each audit costs $1.50 USD.
It provides one tool: `audit_brand`, which scans LLM indices for brand mentions and calculates a visibility score.
You need Python installed and an MCP-compatible client, such as Claude Desktop. No other dependencies are listed.
The data comes from scanning LLM indices (generative engine search results) for brand mentions.
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