AI Research Automation: Ethical Auth Bypass

Build an MCP server that automates authentication to institutional research resources while maintaining security and ethical standards

AI Research Automation: Ethical Auth Bypass

Episode 3: Authentication Automation

Part of the AI-Powered Browser Automation for Academic Research series, this episode tackles one of the most significant barriers to automated research workflows: authentication.

The Problem: Research flows break when manual authentication is required. Opening a journal article requires logging in. Accessing institutional databases interrupts automation. Claude conversations lose context when authentication sessions expire.

The Solution: A production-ready MCP server that handles authentication automatically, preserves session state across conversations, and integrates seamlessly with Claude Code.

What You'll Build

A production-ready MCP server featuring:

Authentication Automation: Handle Shibboleth SSO, OAuth flows, and institutional login systems without manual intervention.

Session Persistence: Preserve authentication state across Claude conversations using secure cookie storage.

Multi-Pattern Support: Work with university portals, publisher platforms, and research databases using pattern recognition.

Security-First Design: Manage credentials safely with encrypted storage and environment variable isolation.

Claude Code Integration: Enable AI-assisted research with transparent authentication handling.

Learning Path

Navigate through the chapters to build your authentication automation system:

Ethical Use Warning

This tutorial covers automation of legitimate institutional access only. The techniques presented are designed for researchers with valid credentials accessing resources they are authorized to use. This is NOT for bypassing paywalls, accessing unauthorized content, or circumventing security measures. Use responsibly, ethically, and in compliance with your institution's acceptable use policies and applicable laws.

Prerequisites Checklist

Before starting, ensure you have:

Series Foundation: Completed Episodes 1-2 or equivalent understanding of MCP architecture and browser automation fundamentals.

Development Environment: Node.js 18+ and npm installed with TypeScript support configured.

Authentication Knowledge: Basic understanding of SSO, OAuth, and session management concepts.

Institutional Access: Valid credentials for at least one institutional research database or library system.

Tools Ready: Playwright installed and browser debugging tools accessible.

What Makes This Different

Production-Ready: Not just proof-of-concept code, but battle-tested patterns used in real research workflows.

Security-First: Proper credential management, encrypted storage, and security best practices built in from the start.

Pattern Recognition: Intelligent detection of authentication flows rather than brittle site-specific scripts.

Claude-Native: Designed specifically for integration with Claude Code and MCP protocol.

Ethical Framework: Explicit boundaries and responsible use guidelines throughout.

Ready to Begin?

Start with Chapter 1: Getting Started to understand the architecture and prepare your development environment.