SEO

The only SEO skill your agent needs. 70+ SEO audit tools through a local CLI and MCP server, using your own crawl, Search Console, and GA4 data.

Digital Marketing & SEOTypeScriptApache-2.0

Abstract

SEO is an open-source Digital Marketing & SEO project. The only SEO skill your agent needs. 70+ SEO audit tools through a local CLI and MCP server, using your own crawl, Search Console, and GA4 data. The SEO command for AI agents. Audit sites, find search opportunities, research competitors, and verify the work from one local command and MCP server. It is built using TypeScript. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

The SEO command for AI agents. Audit sites, find search opportunities, research competitors, and verify the work from one local command and MCP server.

The seo command turns crawl, Search Console, connected traffic analytics, and optional research-provider data into work you can inspect and ship. Find technical blockers, recover existing demand, research new keywords and competitors, review programmatic page patterns, and catch regressions after a release.

result, domain, competitor, and link evidence through MCP and one packaged SEO skill instead of screenshots or guesses.

2. Objective

The only SEO skill your agent needs. 70+ SEO audit tools through a local CLI and MCP server, using your own crawl, Search Console, and GA4 data.

This project demonstrates how TypeScript can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

TypeScript

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Node.js (LTS) and npm / yarn / pnpm
  • VS Code or any code editor
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/iannuttall/seo.git
cd seo
npm i -g seo
seo start
seo report

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Export reports to Google Sheets or PDF
  • Schedule weekly automated reports
  • Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which marketing or SEO problem does this tool solve?
  2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
  3. Which metrics or KPIs does it report and how are they calculated?
  4. How could the output help a business make decisions?
  5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by iannuttall and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

Want to build this as your internship project?

Work on a Digital Marketing & SEO project like this with mentor guidance, weekly reviews and an internship certificate from Training Trains, Erode — online or offline.

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