Google Docs MCP that works

Hacker News

Hi! Everyone I've shown this to has been confused that it didn't exist already, so thought I'd share with the wider community. All the Google Docs MCPs out there seem to be broken in annoying ways so I thought I'd make one. For instance they do character-offset-based editing and LLMs are reliably terrible at counting characters. This one just works. (It uses the similar pattern-matching search and replace that code editor harnesses use for file editing to minimize token usage and latency). There are some showstoppers still. The most annoying is that Google Docs comments API is has been broken for over a decade (sic). I (well, Claude) build a workaround that involves inserting a bookmark with the Apps Script API and linking to that bookmark from the comment. It's hacky but for a lot of LLM-based workflows like contract review or similar it gets you 80% of where you want to be - you can say something like "add comments and john@lawfirm.com for anything that you want their opinion on". I hope people find it useful. Install involves the usual dance with Google Cloud API console; apologies in advance for taking some happiness from your day.

Visit product View on Hacker NewsApr 22, 2026

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

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: exist, ide, io · Missing: https docs, excited, just released

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, google, way · Missing: mobile apps, ios, personal

62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% 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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