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Lingo.dev - Open-source i18n toolkit for LLM-powered localization
MCP • CLI • CI/CD • SDK • Compiler
| Tool | Use Case | Quick Command |
|---|---|---|
| MCP | AI-assisted i18n setup for React apps | Prompt: Set up i18n |
| CLI | Translate JSON, YAML, markdown, CSV, PO files | npx lingo.dev@latest run |
| CI/CD | Automated translation pipeline in GitHub Actions | uses: lingodotdev/lingo.dev@main |
| SDK | Runtime translation for dynamic content | npm install lingo.dev |
| Compiler | Build-time React localization without i18n wrappers | withLingo() plugin |
Setting up i18n in React apps is notoriously error-prone - even for experienced developers. AI coding assistants make it worse: they hallucinate non-existent APIs, forget middleware configurations, break routing, or implement half a solution before getting lost. The problem is that i18n setup requires a precise sequence of coordinated changes across multiple files (routing, middleware, components, configuration), and LLMs struggle to maintain that context.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want Lingo.dev again. Will you remember where to find it?
Save it to your library and the next time you need Lingo.dev, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Lingo.dev. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
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What's New
Imported from awesome:wong2/awesome-mcp-servers
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