Model Context Protocol (MCP) Integration Guide

Sylgeo provides a dedicated **Model Context Protocol (MCP)** server (`sylgeo-mcp`). It allows modern AI coding environments, editors, and conversational bots to interface directly with Sylgeo's citation diagnostics and scanning engine.

No Coding Required for End-Users

By running the Sylgeo MCP Server, AI agents can read and write schema checks, execute SEO/GEO queries, analyze robots.txt files, and compare brand visibility across models automatically through natural language commands.

Setting Up Your AI Coding Assistant

Select your development environment below to see step-by-step installation instructions.

Integrate Sylgeo directly into Anthropic's terminal-based coding assistant.

Steps

  1. Open your terminal or command prompt.
  2. Ensure you have uv installed (pip install uv).
  3. Run the "claude mcp add" command below to install the server.
  4. Export your SYLGEO_API_KEY environment variable in your session (or add to .env/.bashrc).
Install Command
claude mcp add sylgeo-mcp -- uvx sylgeo-mcp

🤖 Claude Code Integration

Claude Code interacts with `sylgeo-mcp` using the standard `stdio` transport. When you execute prompts, the terminal agent translates natural query requests into call operations on the server:

"Check the current GEO readiness score of my brand domain sylgeo.com."

🚀 Cursor Composer & Codex

Cursor and Codex read our schema parameters to format tabular display comparisons directly inside the chat panel. For example, calling `compare_competitors` renders competitor data side-by-side with your brand.

⚡ Gemini & Minimax Integrations

Our backend integrates Gemini 2.5/3.5 and Minimax models. When users connect their MCP server, queries are run concurrently against OpenRouter mapping parameters to test how these specific engines search and mention your brand.