GitMCP adds an in-browser chat for any GitHub repo docs

Hacker News

GitMCP is a free, open-source, zero-setup remote MCP server that enables AI agents, such as Cursor and Windsurf, to access up-to-date documentation and code for any GitHub repository. We've just introduced a new quick-start feature that allows you to give GitMCP a spin by chatting with any GitHub repo documentation instantly in your browser. Replace github.com with gitmcp.io in the URL to use GitMCP just as AI agents do. Add GitMCP as a remote MCP server to your favorite IDE to empower your AI agent while you code, drastically improving its capabilities with live, accurate context! Example: https://gitmcp.io/mrdoob/three.js See the project here: https://github.com/idosal/git-mcp Feedback and contributions are welcome!

Visit product View on Hacker NewsApr 26, 2025

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

95%95% 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: ide, io · Missing: https docs, excited, just released

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% 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

37%37% predicted probability of success on Indie Hackers, 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 · Strong signals: chat, introduce · Missing: web3, crypto, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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