Descriptions:
This video by Fahd Mirza covers the integration of OpenClaw with Google Chrome using locally hosted Ollama models, specifically Qwen3.5 35B, to give AI agents direct access to a live browser session. The key enabler is Chrome 146’s newly shipped native remote debugging support combined with Google’s official Chrome DevTools MCP (Model Context Protocol) server — meaning agents can now see open tabs, authenticated dashboards, GitHub repos, and internal tooling without browser extensions, screenshot pipelines, or separate login flows.
Mirza walks through installing and configuring the latest version of OpenClaw from scratch on Ubuntu, generating a gateway token, setting the Ollama-based model in the config file, and then adding the Chrome DevTools MCP server via a single terminal command that injects the required configuration block. He explains what MCP is (an open standard for connecting AI agents to external tools and data sources), what the Chrome DevTools MCP exposes (tabs, console, network requests, DOM), and how to enable remote debugging in Chrome settings.
The tutorial includes security caveats — granting an agent full browser access carries real risks, and Mirza points viewers to a dedicated security video for hardening guidance. For developers building browser-aware agents or wanting to automate workflows against authenticated web applications without maintaining separate credentials or headless browser infrastructure, this walkthrough offers a practical and reproducible path using entirely free, locally running components.
📺 Source: Fahd Mirza · Published March 15, 2026
🏷️ Format: Tutorial Demo
