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AI-powered browser automation using the AIPex Chrome Extension via MCP bridge.
Passed 18 of 21 test cases with the skill, and 5 of 21 without it.
and 14 more in the full report
14 fixed5 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to list all open tabs, switch to tab ID 12, and then close tab ID 3. What exact sequence of tab management tool calls accomplishes this?
| Checked | Without skill | With skill |
|---|---|---|
| Executes get_all_tabs first, followed by switch_to_tab, and finally close_tab. | Missed | Passed |
The instructions your model reads when the skill loads.
AIPex is a Chrome extension that exposes 30+ browser automation tools over the Model Context Protocol (MCP). Once connected, the agent can control any Chrome tab using natural language — clicking, typing, navigating, capturing screenshots, downloading content, and more.
Architecture:
Agent (MCP client) ──stdio──▶ aipex-mcp-bridge ──WebSocket──▶ AIPex Chrome Extension ──▶ Browser APIs
Use this skill when the user wants to:
The user is assumed to have AIPex installed. The agent only needs to complete the two connection steps below.
Add the following to the agent's MCP configuration. No manual installation is needed — npx downloads and runs aipex-mcp-bridge automatically.
.cursor/mcp.json)test cases passed, vs 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.