MCP server
Modern AI Brand Recommendation Rate
io.github.modern-ai-inc/w0-mcp-server
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
How often AI search picks a brand first. Recommendation Rate data from Modern Discovery.
Working at last checkAbout 243 tokens per request once connected2 tools
https://w0-mcp-server.modernai.workers.dev
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 2
- Token cost
- About 243 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http w0-mcp-server https://w0-mcp-server.modernai.workers.dev
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.w0-mcp-server] url = "https://w0-mcp-server.modernai.workers.dev"
Gemini CLI
{"mcpServers":{"w0-mcp-server":{"httpUrl":"https://w0-mcp-server.modernai.workers.dev"}}}
Cursor
{"mcpServers":{"w0-mcp-server":{"url":"https://w0-mcp-server.modernai.workers.dev"}}}
VS Code
{"servers":{"w0-mcp-server":{"type":"http","url":"https://w0-mcp-server.modernai.workers.dev"}}}
Antigravity
agy mcp add w0-mcp-server https://w0-mcp-server.modernai.workers.dev
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"w0-mcp-server","server_url":"https://w0-mcp-server.modernai.workers.dev","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"w0-mcp-server","server_url":"https://w0-mcp-server.modernai.workers.dev"}
Tools
get_recommendation_rate_methodology~76 tokens
Definitions of Recommendation Rate and Recommendation Inclusion Rate, the AI surface measured, refresh cadence, and links to the full methodology page.lookup_brand_recommendation_rate~167 tokens
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
Browse
Related MCP servers
- DefaultRank
Check npm dependencies for outdated majors, and see which dev tools AI models pick. - AthenaHQ
Track how AI assistants mention, cite, and rank your brand and competitors in AI search. - Slidev MCP
Generate, render, and host Slidev presentations from markdown - ask10ais
Independent measurements of how 12 AI models answer brand questions in Chinese and English. - FineRx
US Rx prices by pharmacy near you + free discount card; foreign-brand equivalents; 12 languages - CommunityMentions
Which subreddits AI answers cite, matched to your product, with each one's most-cited threads. - HerStack
Read-only UK women's midlife health guidance: search, PubMed-backed evidence, supplement picks. - Proofsource
AI visibility: which buyer questions name your brand in ChatGPT, Perplexity, Claude, AI Overviews.
Badge for your README
[](https://aptlynx.net/servers/io.github.modern-ai-inc/w0-mcp-server)
Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents