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PopNx MCPMCP servers for people who use AI · explained in plain words

L10n.dev - AI Localization Agent

by l10n-devversion 1.2.0i★ –iRuns on your computer
Registry nameio.github.l10n-dev/ai-l10n-mcp

Install

Overview

Description from the maker (original English)

MCP Server that turns your AI agent into a localization expert with token-efficient i18n translation

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work
  • You need to fill in: YOUR_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: YOUR_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ai-l10n": {
      "command": "npx",
      "args": [
        "-y",
        "ai-l10n-mcp"
      ],
      "env": {
        "YOUR_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ai-l10n --env YOUR_API_KEY=your-value -- npx -y ai-l10n-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ai-l10n": {
      "command": "npx",
      "args": [
        "-y",
        "ai-l10n-mcp"
      ],
      "env": {
        "YOUR_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ai-l10n": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ai-l10n-mcp"
      ],
      "env": {
        "YOUR_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • YOUR_API_KEY secret env
    Your API key for the service

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account l10n-dev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 3592 servers in this category
  • Published to the registry more recently than 25% of the other 3592 servers in this category
  • Basic checks equal to or better than 100% of the other 3592 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is L10n.dev - AI Localization Agent safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: YOUR_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by haris-musaWidely used↓ 49.6K/wk★ 4.3KUpdated 8 days ago

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Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

by sbroenneGrowing↓ 4.3K/wk★ 847Updated 5 days ago

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ai-l10n-mcp

MCP server that gives AI agents access to l10n.dev — a professional [localization service](https://l10n.dev) purpose-built for software i18n files.

When an AI agent needs to translate your app, the naive approach is to paste file contents into the chat. That breaks down fast: localization files are large, formats are strict, placeholders must survive verbatim, glossaries drift across sessions, and the agent has no memory between runs. This MCP replaces that fragile workflow with a dedicated localization engine that the agent calls as a tool — getting professional-grade output without wasting context window on raw file contents.

Think of it as giving your AI agent a professional localization co-pilot: the agent handles intent and orchestration; l10n.dev handles the actual translation with accuracy, consistency, and format guarantees.


Why use this instead of asking your AI agent directly?

AI agent aloneai-l10n-mcp
165 language supportVaries, often limited✅ Full coverage
Large file handlingTruncates or skips✅ Handled entirely server-side
Format preservationFragile — breaks placeholders, keys, structure✅ Guaranteed — source format validated after translation
Glossary consistencyLost between sessions and file chunks✅ Persisted glossary applied across all files and chunks
Post-editing required?Usually yes✅ No — output is production-ready
Token costHigh — raw file in context✅ Low — only metadata returned
Incremental updatesFull reading and retranslation every time✅ Only new/changed strings

Features

  • 165 Languages — translate to the full range of world languages in one call
  • Format guaranteed — JSON, JSONC, Flutter ARB, YAML, PO (gettext), XLIFF, MD and all text-based i18n formats; placeholders, keys, and structure preserved and validated after translation
  • Auto-detect target languages from project structure
  • Persistent glossary — generate a glossary from your content, save it, and have it applied automatically across every subsequent file and chunk for consistent terminology
  • Linguistic instructions — save style/tone rules per language pair (e.g. "Use formal tone")
  • Incremental translation — hash-based change detection skips strings already translated, saving quota and protecting existing translations
  • Proactive quality control — checks instructions and glossary for each language pair before translating, not after

Connect Claude Desktop, Cursor, Windsurf, GitHub Copilot, OpenAI Codex, or any MCP-compatible agent directly to l10n.dev's translation engine.


Installation & Configuration

Getting an API key

Create a free account and get your API key at https://l10n.dev/ws/api-keys

Tip: Instead of setting L10N_API_KEY in each config, you can ask the AI to store your key with l10n_set_api_key. The key is saved to ~/.ai-l10n/config.json and used automatically.

Claude Desktop

In Claude Desktop, open Settings > Developer > Edit Config. Claude Desktop will open the correct MCP config file for your install. On macOS this is typically ~/Library/Application Support/Claude/claude_desktop_config.json. On Windows, the backing path can vary by installation, so prefer Edit Config instead of navigating manually. Add:

{

"mcpServers": { "l10n": { "command": "npx", "args": ["-y", "ai-l10n-mcp"], "env": { "L10N_API_KEY": "your-api-key-here" } } } }

Cursor

Open Customize in Cursor to add and manage MCP servers. For a file-based setup, create one of these configs:

  • ~/.cursor/mcp.json for a user-wide setup
  • .cursor/mcp.json in your project for a workspace-specific setup

Add:

{

"mcpServers": { "l10n": { "type": "stdio", "command": "npx", "args": ["-y", "ai-l10n-mcp"], "env": { "L10N_API_KEY": "your-api-key-here" } } } }

Windsurf

In Windsurf, open the MCPs panel in Cascade, or go to Devin Settings > Cascade > MCP Servers. If you need to add it manually, edit ~/.codeium/windsurf/mcp_config.json and add:

{

"mcpServers": { "l10n": { "command": "npx", "args": ["-y", "ai-l10n-mcp"], "env": { "L10N_API_KEY": "your-api-key-here" } } } }

GitHub Copilot (VS Code)

Open the Command Palette and select MCP: Open User Configuration. Alternatively, create a .vscode/mcp.json file in your workspace or user settings. Add:

{

"servers": { "l10n": { "type": "stdio", "command": "npx", "args": ["-y", "ai-l10n-mcp"], "env": { "L10N_API_KEY": "your-api-key-here" } } } }

OpenAI Codex (CLI and IDE)

Add to ~/.codex/config.toml for a user-wide setup, or .codex/config.toml in a trusted project:

[mcp_servers.l10n]

command = "npx" args = ["-y", "ai-l10n-mcp"]

[mcp_servers.l10n.env] L10N_API_KEY = "your-api-key-here"

You can also add it from the terminal:

codex mcp add l10n --env L10N_API_KEY=your-api-key-here -- npx -y ai-l10n-mcp
Claude Code (CLI and VS Code extension)

Add the server from the terminal:

claude mcp add --env L10N_API_KEY=your-api-key-here --transport stdio l10n -- npx -y ai-l10n-mcp

For a shared project setup, Claude Code can also store MCP servers in a .mcp.json file at your project root.


Available Tools

Translation
ToolDescription
l10n_translate_fileTranslate an i18n source file to one or more target languages
l10n_detect_project_structureScan a source file to detect structure type, source language, target languages, and target file paths

Both tools detect language codes in language-code folders (locales/en/common.json, reported as folder-based) and in file names (file-based) — whether the name is the code itself (locales/en.json) or holds it alongside other parts (app_en.arb, locales/emails.en.json, locales/en-US.common.json, messages_en_US.properties). For naming conventions that are not recognized, pass languageCodeRegex, a regex containing a (? ...) group, e.g. ^emails\.(? [\w-]+)\.json$. The text around the group is reused for target files, so emails.en.json produces emails.ru-RU.json.

Linguistic Instructions
ToolDescription
l10n_list_instructionsList all saved linguistic instructions (tone, style, brand voice)
l10n_create_instructionCreate a new instruction for a language pair
l10n_update_instructionUpdate an existing instruction
l10n_delete_instructionDelete an instruction
Glossary
ToolDescription
l10n_list_glossariesList all saved glossaries
l10n_get_glossaryGet full details and entries of a specific glossary
l10n_create_glossaryCreate a new empty glossary
l10n_update_glossaryUpdate glossary name or active status
l10n_delete_glossaryPermanently delete a glossary
l10n_add_glossary_entryAdd a term mapping to a glossary
l10n_delete_glossary_entryRemove a term mapping from a glossary
Account
ToolDescription
l10n_get_balanceCheck remaining character balance
l10n_set_api_keyStore an API key locally for automatic use
l10n_get_api_key_statusCheck whether an API key is configured

Available Prompts

l10n_project_setup

Guides through checking and configuring linguistic instructions and glossaries for optimal translation quality. Invoke it at the start of a new project or when reviewing l10n.dev settings.

Arguments:

  • sourceLanguage — source language code (default: en)
  • targetLanguages — comma-separated target language codes (e.g. es,fr,de)
l10n_setup_automation

Scans the project for i18n source files (using l10n_detect_project_structure), checks linguistic instructions, glossary, and balance, then interactively sets up fully automated translation via GitHub Actions or npm scripts.

For GitHub Actions, guides through four trigger options:

  • A) On every push to main — translate and commit back directly
  • B) On pull requests — translate and open a PR for review
  • C) On a schedule — translate nightly or on a cron
  • D) Manual trigger only — workflow_dispatch

Writes ai-l10n.config.json and .github/workflows/translate.yml (or updates package.json scripts), then tells you where to add the API key and what happens on the next trigger.

Arguments:

  • sourceLanguage — source language code (default: en)
  • targetLanguages — comma-separated target language codes (e.g. es,fr,de)

Example Workflow

User: "Translate my app to Spanish and French"

Claude (with this MCP server) will:

  1. Call l10n_list_instructions — finds no instruction for es/fr language pairs
  2. Ask: *"No instruction found for Spanish/French — would you like to set a tone/style rule before translating? (e.g. formal, casual, keep brand terms untranslated)"*
  3. User says: *"Tone should be informal, it's for a food app in Latin America"*
  4. Call l10n_create_instruction with the style rule
  5. Call l10n_list_glossaries — finds no active glossary for es/fr
  6. Ask: *"No glossary found for Spanish/French — enable glossary generation for this run? It saves key terms for consistent future translations."*
  7. User says: *"Yes"*
  8. Detect that es.json and fr.json already exist — ask: *"Target files already exist — enable incremental mode to skip unchanged strings and save quota?"*
  9. User says: *"Yes"*
  10. Call l10n_translate_file with sourceFile, targetLanguages: ["es", "fr"], instruction, generateGlossary: true, translateOnlyNewStrings: true
  11. Report results

Incremental Translation

For JSON-based formats, enable translateOnlyNewStrings: true to skip strings that are already translated. A hash of each source string (not content itself) is stored on the l10n.dev server for change detection — only added or changed strings are translating, saving your character quota.

Note: First translation it translates only added strings, because hash table is empty to detect changed strings.


Automation: CLI and GitHub Actions

For CI/CD automation and command-line usage, see:

  • [ai-l10n CLI](https://www.npmjs.com/package/ai-l10n) — translate files from the terminal or CI pipelines
  • [GitHub Action](https://github.com/marketplace/actions/ai-l10n) — auto-translate on push, PR, or manual trigger

Pricing

  • Free tier — 10,000 characters free every month, no credit card required.
  • Pay-as-you-go — Affordable character-based pricing with no subscription required.
  • Current packages — Visit l10n.dev/#pricing for up-to-date pricing.

Privacy & Security

  • No data retention — Source text and translations are not stored on l10n.dev servers beyond the time needed to process the request.
  • Encrypted communication — All API calls use HTTPS.
  • Privacy first — Built by developers for developers, with privacy, reliability, and quality as core priorities.

Support

📧 Emailsupport@l10n.dev

| 🐛 Issues | [GitHub Issues](https

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