Does your WebMCP actually save time and tokens? Run an ON/OFF experiment

<h2> Cursor and Windsurf are not AI coding tools. They're slot machines wrapped in a dark theme. Both exploits Claude Opus 4.7's broken tokenizer—which silently inflates your

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,

<p>A recent r/ClaudeAI post measured a single Playwright MCP workflow at <strong>114,000 tokens</strong>. Not a complex task — a 7-step navigation + form submission that ran in

<p>AI agents are getting good at using the web. But the way they interact with it today is fragile: CSS selectors, XPath queries, visual parsing, and DOM scraping that breaks

<p>We built an open-source browser automation MCP because we wanted something simple:</p> <blockquote> <p>Observe a webpage once, let an LLM interact with it, then export a

<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't

<p>And you probably have no idea.</p> <p>If you have an agent with 50 MCP tools installed, here's what happens before any user message is processed:<br /> </p> <div

<p>MCP is one of the most thoughtfully scoped technical standards to come out of the AI ecosystem. That scope is intentional. Understanding exactly where MCP stops is the