io.github.modern-ai-inc/w0-mcp-server

up checked 2026-11-11T08:39:42.951Z

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Publisher-provided title

Modern AI Brand Recommendation Rate

Publisher-provided description

How often AI search picks a brand first. Recommendation Rate data from Modern Discovery.

Summary by lookupd

Looks up a brand's AI recommendation rate, showing how often AI search names it as the top pick for buyer-intent questions.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http w0-mcp-server https://w0-mcp-server.modernai.workers.dev

Codex, remote (streamable-http)

codex mcp add w0-mcp-server --url https://w0-mcp-server.modernai.workers.dev

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "w0-mcp-server": {
      "url": "https://w0-mcp-server.modernai.workers.dev"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (2 tools)

Publisher-provided text

• lookup_brand_recommendation_rate Look up a brand's AI Recommendation Rate: the percentage of buyer-intent questions where the brand is the #1 AI pick (not just mentioned), plus its Recommendati
• get_recommendation_rate_methodology Definitions of Recommendation Rate and Recommendation Inclusion Rate, the AI surface measured, refresh cadence, and links to the full methodology page.

Details

• Version: 1.1.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 221 ms
• First indexed: 2026-11-01T09:41:26.452Z
• Last seen in registry: 2026-11-01T09:41:26.462Z
• Repository: https://github.com/modern-ai-inc/w0-mcp-server
• Website: https://discovery.modernai.io/methodology

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