Building a Browser Harness MCP for AI Agents
Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.
README
Building a Browser Harness/MCP for AI Agents
A browser harness built with Playwright, MCP, and the GitHub Copilot SDK.
Setup
npm install
npx playwright install chromium
Set the Azure OpenAI environment variables:
export AZURE_OPENAI_ENDPOINT="https://..."
export AZURE_OPENAI_API_KEY="..."
export AZURE_OPENAI_API_VERSION="2025-04-01-preview"
export AZURE_OPENAI_DEPLOYMENT="gpt-5.4"
By default, the harness launches Playwright Chromium. To attach to Chrome instead, start it with a dedicated profile and export its CDP endpoint:
google-chrome \
--remote-debugging-port=9222 \
--user-data-dir="$PWD/.agent-browser" \
--no-first-run
export BROWSER_CDP_URL="http://127.0.0.1:9222"
Run
npm start -- "Open example.com and print the page title."
Run the live tasks:
npm run eval
npm run eval -- --task amazon
The code-execution runtime is not a security boundary. Run generated code in an isolated process or VM before using this pattern with untrusted input.
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