Modern AI Brand Recommendation Rate MCP server
online · 100% uptimeio.github.modern-ai-inc/w0-mcp-server·v1.1.0How often AI search picks a brand first. Recommendation Rate data from Modern Discovery.
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Modern AI Brand Recommendation Rate tools (2)
write = sends, deletes, buys or postsget_recommendation_rate_methodologyFreeDefinitions of Recommendation Rate and Recommendation Inclusion Rate, the AI surface measured, refresh cadence, and links to the full methodology page.
lookup_brand_recommendation_rateFreeLook 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.
Public scan report
scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 294ms20/20
- Tool poisoning2 tool descriptions checked15/15
- Auth qualityopen endpoint, read-only tools10/15
- Maintenancelast push 28 days ago15/15
- Maintainer identityregistry namespace matches repository owner6/10
How Modern AI Brand Recommendation Rate compares
Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 88/100
- higher than 80% of 3,470 Web search servers
- Tools
- 2
- the typical Web search server has 5
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- Uptime
- 100%
- of our recent checks; the typical remote Web search server answers 100%
- Response time
- 63 ms
- faster than 94% of 2,238 Web search servers
What its tools let an agent do: 2 read
Release history: 2 versions in the registry since 2026-08-26, latest 2026-10-03, typically one every 39 days.
Install Modern AI Brand Recommendation Rate in Claude Code, Cursor or VS Code
claude mcp add --transport http w0-mcp-server https://w0-mcp-server.modernai.workers.dev
What the publisher says
From the Modern AI Brand Recommendation Rate repository's README, as published. We do not edit it. Read it on GitHub
w0-mcp-server
A Model Context Protocol server for Modern AI's Brand Recommendation Rate lookup -- ask any MCP-compatible AI assistant (Claude, ChatGPT, etc.) how often a brand gets recommended by AI search and chat surfaces.
Live endpoint: https://w0-mcp-server.modernai.workers.dev Health check: GET /health -> ok Transport: MCP Streamable HTTP (single POST endpoint, JSON-RPC 2.0), hand-implemented, no SDK/build step.
What it exposes
One tool: lookupbrandrecommendation_rate(brand: string).
Given a brand name, returns:
- Recommendation Rate -- the percentage of buyer-intent questions where the brand is the AI's #1 pick (not just mentioned).
- Recommendation Inclusion Rate -- the percentage of buyer-intent questions where the brand appears anywhere in the answer.
This is a free, single-brand, rate-limited lookup backed by Modern AI's Discovery product. Brands that haven't been measured yet return an honest "not measured" response rather than a fabricated number.
Usage
Point any MCP-compatible client at https://w0-mcp-server.modernai.workers.dev using the Streamable HTTP transport. Example tools/call request body:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "lookup_brand_recommendation_rate",
"arguments": { "brand": "Brumate" }
}
}Rate limits
Free lookups are capped per caller under Modern AI's published anti-scrape policy. A 429 response indicates the ceiling was reached for that session; Modern AI offers a commercial access tier with a higher ceiling.
Source
src/index.js is the complete Worker. It is a stateless pass-through: every call forwards to Modern AI's already-deployed, already rate-limited brand-lookup service, so no separate rate limit or attack surface is introduced by this server.
deploy.py deploys the Worker to Cloudflare via the direct REST API. It requires CLOUDFLAREAPITOKEN, CLOUDFLAREACCOUNTID, and a shared W0MCPRELAY_SECRET set in the environment, and assumes the upstream gate Worker (w0-brand-gate) already exists in the same Cloudflare account with a matching secret.
More about Modern AI
Modern Discovery measures and improves how brands show up in AI search and chat answers. This server is one of several public integration points into that data.
Issues / notifications
This repository is monitored by Modern AI. Open an issue for bugs or questions.
Nothing above is checked by us. What we check is on the safety report.
Modern AI Brand Recommendation Rate: common questions
- Is Modern AI Brand Recommendation Rate MCP server safe?
- Yes, by our scan: it is graded A (88/100). Read the Modern AI Brand Recommendation Rate safety report
- How do I install Modern AI Brand Recommendation Rate?
- It runs remotely at w0-mcp-server.modernai.workers.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Modern AI Brand Recommendation Rate need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Modern AI Brand Recommendation Rate maintained?
- The last commit was 32 days ago (2026-10-03). The latest release is v1.1.0.
- Is Modern AI Brand Recommendation Rate up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Modern AI Brand Recommendation Rate?
- Servers from other publishers that do the same job: LetsFG — Flights & Hotels MCP server, Jshookmcp MCP server and Free Search MCP server.
- How does Modern AI Brand Recommendation Rate compare with other Web search MCP servers?
- safety score 88/100 (higher than 80% of 3,470 Web search servers); tools 2 (the typical Web search server has 5); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Modern AI Brand Recommendation Rate
Same job from other publishers: the closest match first, then the best rated.
- LetsFG — Flights & HotelsSearch and book flights and hotels: hundreds of airlines, plus bookable hotel rates.not reviewedEstablishedA
- JshookmcpSearch-first MCP server for JavaScript reverse engineering: 735 tools across 36 domains.not reviewedEstablishedC
Free SearchNo-API-key web search, page fetching and document reading across many engines. Local-first.not reviewedEstablishedB- FrankenSurfRead any web page and search the web: 28 tools, cheapest first, every page checked.not reviewedEstablishedA
- TinysearchFast discovery search and self-hosted web research for MCP agents.not reviewedEstablishedB