Copy-pasting screenshots into a chat window is a slow way to work with GEO data. The Model Context Protocol (MCP) removes that step: your AI agent connects straight to a live data source and pulls numbers on demand. This guide shows you how to wire GEOly's GEO MCP server into Claude, Cursor, Codex, and Claude Code so you can ask "How visible is my brand for 'enterprise CRM' right now?" and get a real answer inside your editor, with no dashboard tab-switching.
By the end you will have MCP connected through OAuth or a read-only token, know which of the tools to call, and understand how the same toolset reaches you through the GEOly CLI for terminal and CI work.
Key takeaways
- MCP is an open standard that lets AI clients (Claude, Cursor, Codex, Claude Code) call external tools directly, so your agent reads live GEO data instead of stale exports. - GEOly ships a GEO MCP server at `app.geoly.ai/api/mcp` with up to 62 tools across two data planes: your own brand (KPIs, prompts, citations, competitors, audit, GA4) and industry-public data (brand rankings, category white space, Share of Card, citation sources). - You can connect with one line of config using either OAuth browser authorization or a read-only API token. - The same tools are available in the terminal through the GEOly CLI, so agents in Claude Code, Codex, n8n, or CI pipelines get identical numbers with zero drift. - MCP tools unlock from the Grow plan; every new account gets a free 3-day trial at app.geoly.ai.
Step 1: Understand what MCP gives you for GEO
MCP is often described as the USB-C port for AI apps. It is an open standard that lets a model talk to an external server through a defined set of tools, safely and predictably. Instead of you fetching a report and pasting it in, the agent calls a tool, receives structured JSON, and reasons over it.
For GEO work that means three practical wins. Your agent reads live visibility numbers rather than a week-old CSV. It stays context-aware, so while it edits a landing page it can check your current AIGVR for the target query. And it can run unattended, auditing pages or pulling competitor movement on a schedule.
GEOly exposes two data planes through one server. The own-brand plane covers your KPIs, prompt-level visibility, citations, competitors, the GEO Audit, and GA4 attribution, plus write actions like creating a prompt, topic, or competitor and triggering a monitoring run. The industry-public plane lets any agent query category rankings, white space, brand momentum, Share of Card, AI search demand, brand comparisons, and citation sources without configuring anything first.
Gotcha: MCP tool access starts on the Grow plan. On the free trial you can connect and explore, but confirm your plan covers the tools you plan to script against.
Step 2: Get your GEOly credentials
Sign in at app.geoly.ai (start the free 3-day trial if you are new). GEOly's MCP server supports two auth modes, and which you pick depends on the client.
