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yashselokar2025

Resilient Research MCP Server

Resilient Research MCP Server

⚠️ PROPRIETARY & CONFIDENTIAL
This repository contains proprietary portfolio work. All rights reserved. Copying, forking, redistributing, or using this code for any open-source, commercial, or personal projects without explicit written permission is strictly prohibited.

"An advanced, production-grade Model Context Protocol (MCP) server that equips AI Agents with a highly resilient, stealth-capable, and context-aware web browsing engine. Engineered specifically to overcome the fatal limitations of standard AI browser automation, this proprietary system enables seamless multi-step workflows, extracts deep structural data, and guarantees context window safety across the most complex web environments."

Key Advantages & Capabilities

Standard AI browser automation scripts consistently fail in production environments due to bot-blocking, data obfuscation, and context window crashing. This proprietary architecture was built from the ground up to guarantee resilient agentic operation.

1. Zero-Crash Token Safety

Dumping raw web data into an LLM will instantly crash its context window.

  • The Advantage: Features a custom-built Hybrid Token Engine that performs instantaneous, zero-latency character-to-token limit checks. When navigating massive pages, the system intelligently strips non-semantic code and automatically truncates data right before the boundary limit, guaranteeing the AI never crashes.

2. Deep Shadow DOM Penetration

Modern web applications hide their most valuable data inside isolated, closed components that standard scraping engines cannot see.

  • The Advantage: Utilizes a highly specialized, proprietary DOM-piercing injection module. The engine recursively crawls through isolated web components, forcibly extracting hidden datasets and surfacing them into the light DOM for the AI to parse.

3. Advanced Anti-Bot Masking

Standard headless browsers are immediately detected and blocked by modern security firewalls like Cloudflare or DataDome.

  • The Advantage: Implements deeply integrated browser fingerprint masking. The engine systematically alters its JS footprint and network signatures to effortlessly bypass mid-tier JavaScript bot challenges and access protected endpoints.

4. Persistent Multi-Step Sessions

Basic automation tools spin up a completely fresh, amnesiac browser for every single command, making it impossible to perform sequential tasks (like logging in, then clicking a button).

  • The Advantage: Built around a custom Singleton state manager. The engine maintains a continuous, persistent browser session across multiple AI tool calls. The AI can navigate, scroll, extract, and interact sequentially within the exact same window.

5. Highly Concurrent Execution Queue

When AI agents attempt to execute multiple browser actions in parallel, standard engines crash with fatal race conditions.

  • The Advantage: Features a strict, thread-safe asynchronous locking architecture. When the AI rapidly fires multiple concurrent commands, the engine intelligently queues and strictly serializes them, guaranteeing perfectly stable execution even under heavy parallel load.

Related MCP server: agent-browser-mcp-server

Running the Verification Tests

This project includes 4 hardened verification scripts that prove the architecture's resilience under extreme stress:

  • python test_stealth.py - Proves the fingerprint masking engine successfully bypasses live Cloudflare protection.

  • python test_shadow_dom.py - Proves the recursive DOM-piercing module successfully extracts deeply hidden closed-component text.

  • python test_token_overflow.py - Proves the Hybrid Token Engine safely truncates massively bloated datasets (e.g., world-record Wikipedia pages) without data loss.

  • python test_concurrency.py - Stress-tests the asynchronous execution lock by safely queueing simultaneous parallel commands without engine failure.

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