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integration · published 2026-05-05

Track AI search visibility from Cursor in 60 seconds — Arenza MCP quickstart

If your engineering or developer-relations team owns the GEO motion, Cursor's native MCP support means brand visibility is one editor command away. One .cursor/mcp.json snippet, your Arenza token, and you're querying live data from any chat in any repo.

For dev-tool / DevRel / engineering-led GEO teams (e.g. an OSS company tracking how AI assistants describe its libraries), the natural place to check brand visibility is the editor — not a separate dashboard tab. Cursor 0.45+ supports native MCP, so wiring mcp.arenza.ai is a single config edit.

Why dev-tool-native GEO matters

  • Pull-request review: "before we ship this rename, check whether ChatGPT currently associates the old name with us" — answer in 5 seconds, no context switch.
  • Release-notes drafting: "what 3 wrong claims about our SDK have AI assistants made this week?" → ship a release note that pre-empts them.
  • Onboarding new engineers: they discover GEO data exists in the same chat surface they already use for code questions.

Prerequisites

  • Cursor 0.45 or later (https://cursor.com/download). Older versions use a different MCP UX; upgrade.
  • An Arenza API token from https://app.arenza.ai/settings/api.

Install (60 seconds)

In your repo root, create or edit .cursor/mcp.json:

{
  "mcpServers": {
    "arenza": {
      "url": "https://mcp.arenza.ai/rpc",
      "headers": { "Authorization": "Bearer ${ARENZA_TOKEN}" }
    }
  }
}

Then, in your shell:

export ARENZA_TOKEN=arn_pat_xxxx
# Restart Cursor (Cmd+Q + reopen)

Open Cursor's chat panel (Cmd+L). At the bottom, the tools menu should show "arenza" with 10 tools. Type "/mcp" in chat — Cursor lists active MCP servers + connection status.

Five commands to try first

  1. "Use arenza to list my brands and tell me which has the lowest share of voice in Perplexity"
  2. "For brand X, what are the top 3 wrong claims AI made this week? Quote each one verbatim."
  3. "Suggest 5 buyer-perspective prompts for our new product line that we should be tracking. Make at least 4 of them unbranded."
  4. "Show me the AI opportunities marked critical that I have not addressed yet."
  5. "Generate a draft article body for opportunity O-1234 in English."

Cursor vs Claude Code — which to use

Both Cursor and Claude Code support MCP and connect to the same mcp.arenza.ai endpoint. They return the same data. Pick whichever editor you live in — there's no GEO-specific reason to switch. A team can run both side-by-side with no conflict.

Submit to the Cursor MCP community list

If you want other Cursor users to discover the Arenza MCP server, post in https://forum.cursor.com/c/mcp/. A 5-line post with the JSON snippet + 1-line use case is enough. Discoverable forever; counts as a distributed mention.

Companion repo

https://github.com/arenza-ai/arenza-cursor-quickstart — example .cursor/mcp.json + the 5 prompts as separate files.

Related guides

  • Claude Desktop + Arenza walkthrough: https://arenza.ai/guides/claude-desktop-arenza-mcp-walkthrough-2026
  • Why MCP-native matters for AI visibility tools: https://arenza.ai/guides/mcp-native-ai-visibility-architecture
  • n8n + Arenza for weekly automation: https://arenza.ai/guides/n8n-geo-automation-weekly-digest