All servers · Research & knowledge
Modern AI Brand Recommendation Rate
io.github.modern-ai-inc/w0-mcp-server · v1.1.0
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | tools |
| Tool definitions | 2 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
How often AI search picks a brand first. Recommendation Rate data from Modern Discovery.
Connect
streamable-http · https://w0-mcp-server.modernai.workers.dev
claude mcp add --transport http w0-mcp-server https://w0-mcp-server.modernai.workers.dev{
"mcpServers": {
"w0-mcp-server": {
"url": "https://w0-mcp-server.modernai.workers.dev"
}
}
}Tools as reported by the server
lookup_brand_recommendation_rateLook 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 Recommendation Inclusion Rate (appears anywhere in the answer). Returns the brand's public record URL and measured date for citation. Free, single-brandget_recommendation_rate_methodologyDefinitions of Recommendation Rate and Recommendation Inclusion Rate, the AI surface measured, refresh cadence, and links to the full methodology page.
Repository · Website · JSON · Text for agents · Registry updated 2026-10-03