Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
MCP Server that turns your AI agent into a localization expert with token-efficient i18n translation
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
YOUR_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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-mcpFill in the empty values before running it.
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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account l10n-dev, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: YOUR_API_KEY
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).
The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
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.
| AI agent alone | ai-l10n-mcp | |
|---|---|---|
| 165 language support | Varies, often limited | ✅ Full coverage |
| Large file handling | Truncates or skips | ✅ Handled entirely server-side |
| Format preservation | Fragile — breaks placeholders, keys, structure | ✅ Guaranteed — source format validated after translation |
| Glossary consistency | Lost between sessions and file chunks | ✅ Persisted glossary applied across all files and chunks |
| Post-editing required? | Usually yes | ✅ No — output is production-ready |
| Token cost | High — raw file in context | ✅ Low — only metadata returned |
| Incremental updates | Full reading and retranslation every time | ✅ Only new/changed strings |
Connect Claude Desktop, Cursor, Windsurf, GitHub Copilot, OpenAI Codex, or any MCP-compatible agent directly to l10n.dev's translation engine.
Create a free account and get your API key at https://l10n.dev/ws/api-keys
Tip: Instead of setting
L10N_API_KEYin each config, you can ask the AI to store your key withl10n_set_api_key. The key is saved to~/.ai-l10n/config.jsonand used automatically.
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" } } } }
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 setupAdd:
{
"mcpServers": { "l10n": { "type": "stdio", "command": "npx", "args": ["-y", "ai-l10n-mcp"], "env": { "L10N_API_KEY": "your-api-key-here" } } } }
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" } } } }
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" } } } }
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
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.
| Tool | Description |
|---|---|
l10n_translate_file | Translate an i18n source file to one or more target languages |
l10n_detect_project_structure | Scan 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.
| Tool | Description |
|---|---|
l10n_list_instructions | List all saved linguistic instructions (tone, style, brand voice) |
l10n_create_instruction | Create a new instruction for a language pair |
l10n_update_instruction | Update an existing instruction |
l10n_delete_instruction | Delete an instruction |
| Tool | Description |
|---|---|
l10n_list_glossaries | List all saved glossaries |
l10n_get_glossary | Get full details and entries of a specific glossary |
l10n_create_glossary | Create a new empty glossary |
l10n_update_glossary | Update glossary name or active status |
l10n_delete_glossary | Permanently delete a glossary |
l10n_add_glossary_entry | Add a term mapping to a glossary |
l10n_delete_glossary_entry | Remove a term mapping from a glossary |
| Tool | Description |
|---|---|
l10n_get_balance | Check remaining character balance |
l10n_set_api_key | Store an API key locally for automatic use |
l10n_get_api_key_status | Check whether an API key is configured |
l10n_project_setupGuides 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_automationScans 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:
main — translate and commit back directlyworkflow_dispatchWrites 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)User: "Translate my app to Spanish and French"
Claude (with this MCP server) will:
l10n_list_instructions — finds no instruction for es/fr language pairsl10n_create_instruction with the style rulel10n_list_glossaries — finds no active glossary for es/fres.json and fr.json already exist — ask: *"Target files already exist — enable incremental mode to skip unchanged strings and save quota?"*l10n_translate_file with sourceFile, targetLanguages: ["es", "fr"], instruction, generateGlossary: true, translateOnlyNewStrings: trueFor 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.
For CI/CD automation and command-line usage, see:
| support@l10n.dev |
| 🐛 Issues | [GitHub Issues](https
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