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Browser-Use MCP for Claude that works without an API key

Hacker News

Browser-Use MCP for Claude that works without an API key

Hey everyone, I built an MCP that enables the Claude desktop app to control your browser using the open-source tools from Browser Use (YC W25). MCPs (based on the Model Context Protocol by Anthropic) enable Claude to use tools that can do a variety of functions like searching the web, executing code, manipulating files, accessing APIs; basically interacting with things outside the conversation context. The main reason I built this MCP was because I saw that existing Browser Use MCPs required me to get an API key from OpenAI/Anthropic playgrounds in order to use them with the Claude desktop app, which I didn't want to do because I already pay for Claude. It was fun to read the Browser Use code ( https://github.com/browser-use/browser-use ) to see how everything works! There's basically an agent (powered by an LLM of your choice) which has access to a bunch of tools. I removed that agent and made the Claude desktop app the agent instead using the Model Context Protocol by Anthropic, and finally gave it access to the Browser Use tools to tie everything together. Hope you find it useful!

Visit product View on Hacker NewsMar 19, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, claude, model · Missing: mac, agents, macos

99%99% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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