Lightning AI Visibility MCP

An MCP server providing access to AI visibility studies that analyze how major AI assistants (ChatGPT, Gemini, Claude) respond to queries across various industries and regions. It allows agents to retrieve raw model answers, Lightning metrics, and findings, with support for paid access to full study reports via x402 protocol.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-18Operated by Lightning

MCP endpoint (Streamable HTTP)

https://api.lightningeo.com/mcp

Vendor documentation

What you can do with it

Retrieve AI visibility study reports for specific industries
Analyze how AI assistants rank brands and recommend products
Access raw model responses and analytical metrics
Purchase custom AI interaction studies via x402

Tools advertised by the last live check:

listar_estudios
buscar_estudios
ver_ficha
ver_metricas
como_comprar
comprar_estudio

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http lightning-ai-visibility-mcp https://api.lightningeo.com/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add lightning-ai-visibility-mcp --url https://api.lightningeo.com/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable lightning-ai-visibility-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "lightning-ai-visibility-mcp": {
      "url": "https://api.lightningeo.com/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "lightning-ai-visibility-mcp": {
      "type": "streamableHttp",
      "url": "https://api.lightningeo.com/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start lightning-ai-visibility-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "lightning-ai-visibility-mcp": {
      "type": "http",
      "url": "https://api.lightningeo.com/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http lightning-ai-visibility-mcp https://api.lightningeo.com/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "lightning-ai-visibility-mcp": {
      "url": "https://api.lightningeo.com/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "lightning-ai-visibility-mcp": {
      "serverUrl": "https://api.lightningeo.com/mcp"
    }
  }
}

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