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Modern AI Brand Recommendation Rate MCP Server

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answering

Modern AI Brand Recommendation Rate is answering right now. Last checked 9 min ago. It exposes 2 tools. Last commit 3 Oct 2026.

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

Uptime history 68 days of history · worst day 91%
68 days agonow
100.0%
Uptime 24h
91 of 91 checks
2
Tools
read from the server
89 ms
Response time
average over 24h
0
Stars
last commit 3 Oct 2026

What changed 3

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 3 October 2026. No other catalogue keeps this.

3 Oct a tool appeared get_recommendation_rate_methodology
3 Oct a tool description was rewritten lookup_brand_recommendation_rate
3 Oct a tool changed version

Nothing serious here today

Today is the operative word: we check Modern AI Brand Recommendation Rate every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add w0-mcp-server --transport http https://w0-mcp-server.modernai.workers.dev
Settings → Connectors → Add custom connector, then paste this address
https://w0-mcp-server.modernai.workers.dev
~/.codex/config.toml
[mcp_servers.w0-mcp-server]
url = "https://w0-mcp-server.modernai.workers.dev"
.cursor/mcp.json
{
  "mcpServers": {
    "w0-mcp-server": {
      "url": "https://w0-mcp-server.modernai.workers.dev"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "w0-mcp-server": {
      "type": "http",
      "url": "https://w0-mcp-server.modernai.workers.dev"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

lookup
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 Recommendation Inclusion Rate (appears anywhere in the answer). Returns the brand's public record URL and measured date for citation. Free, single-brand lookup only, rate-limited per Modern AI's published anti-scrape policy.
recommendation
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.

Endpoints

URLTransportStateLatencyChecked
https://w0-mcp-server.modernai.workers.dev streamable-http answering 52 ms 9 min ago

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Modern AI Brand Recommendation Rate — questions

Answers built from our own checks of this server.

What can Modern AI Brand Recommendation Rate do?
It exposes 2 tools, read directly from the server on our last check. Among them: get_recommendation_rate_methodology, lookup_brand_recommendation_rate. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Modern AI Brand Recommendation Rate working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 89 ms. The bar chart above shows every period we have measured.
How do I connect Modern AI Brand Recommendation Rate?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Modern AI Brand Recommendation Rate need an API key?
No. Modern AI Brand Recommendation Rate completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Modern AI Brand Recommendation Rate?
It answers our handshake in 89 ms on average, which is faster than 94% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Modern AI Brand Recommendation Rate open source?
The code is open source: it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at w0-mcp-server.modernai.workers.dev, which runs on its operator's own terms.