A better way to handoff web bugs to AI agents

What it does

FlowLens is an open-source MCP server that gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing. - magentic/flowlens-mcp-server

flowlens-mcp-server gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing. flowlens-mcp-server Add FlowLens MCP server Add the following config to your MCP client (ex: ~/.claude.json ) under mcpServers : Go to Cursor Settings -> MCP -> New MCP Server . Use the config provided above. code --add-mcp ' {"name":"flowlens","command":"flowlens-mcp-server"} ' Codex Use the Codex CLI to add the FlowLens MCP server configure MCP guide : codex mcp add flowlens -- flowlens-mcp-server Antigravity Follow the Connecting Custom MCP Servers guide . Add the following config to the MCP servers config: "flowlens" : { "command" : "…from github.com

In the maker’s words, at launch

Hi HN, Zidan here. I’ve been experimenting with AI-assisted debugging and noticed a recurring gap: most tools optimize for agent-led exploration (ex: giving claude code a browser to click around and try to reproduce an issue). But in many cases, I've already found the bug myself. What I actually want is a way to hand…

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  FlowLensDec 2025 · magentic.ai · ▲134

  Hi HN, We often run into this with coding agents like Claude Code: debugging turns into copy-pasting logs, writing long explanations, and sharing screenshots. FlowLens is an MCP server plus a Chrome extension that captures browser context (video, console, network, user actions, storage) and makes it available to MCP-compatible agents like Claude Code. You can try it here: https://magentic.ai/flowlens Any feedback—good, bad, or brutal—is welcome.

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  AI BrowserNov 2025 · aibrowser.surf · ▲143

  Hey HN! I built Browser AI after getting frustrated with the official Playwright MCP server in Claude Code. If you've used it, you know the pain: - 20+ separate tools that Claude has to juggle (click, fill, navigate, wait_for_selector, etc.) - Context window explosions from verbose screenshot data and DOM snapshots - Constant tool selection errors where Claude picks the wrong tool or forgets parameters Browser AI wraps Playwright MCP with a single natural language interface. Instead of Claude managing dozens of tools, you get one: browser_ai.execute. Just tell it what you want in plain…

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  Browserfly2025 · browserfly.app · ▲203

  Hey Hackers! I've had this idea stuck in my head for a while: what if an AI could actually use my browser for me? I mean, not on some virtual machine in the cloud like ChatGPT agent, but right on my own browser. I finally decided to just build it and see what would happen. I wrote a quick MVP, and honestly, I didn't expect much. But then... it started doing things. On its own. It figured out how to use search engine to find what I needed, read a webpage to answer my questions, and even it can organize my chaotic mess of tabs into neat groups. It was a genuine "whoa" moment for me. That's…

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  Web-eval-agent – Let the coding agent debug itself2025 · github.com · ▲84

  Hey HN! We’ve been building an MCP server to help AI-assisted web app developers by using browser agents to test whether changes made by an AI inside an editor actually work. We've been testing it on scenarios like verifying new flows in a UI, or checking that sending a chat request triggers a response. The idea is to let your coding agent both code and evaluate if what it did was correct. Here’s a short demo with Cursor: https://www.youtube.com/watch?v=_AoQK-bwR0w When building apps, we found the hardest part of AI-assisted coding isn’t the coding—it’s tedious point-and-click…

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  agentbrowseJun 2026 · npmjs.com · ▲89

  Give your AI coding agent the web as a command line

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  Open-source browser for AI agentsMar 2026 · github.com · ▲155

  Hi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state. ABP is designed to keep the acting agent synchronized with the browser at every step. After each action (click, type, etc), it freezes JavaScript execution and rendering, then captures the resulting state. It also compiles the notable events that occurred during that action loop, such as navigation, file pickers, permission prompts, alerts, and downloads,…

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