How to Use the Localazy (AI Translation & Localization API) MCP in VS Code Copilot

Q: How do I configure the Localazy (AI Translation & Localization API) MCP Server for my team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and add the server configuration. This allows every developer on your team to access the translation tools automatically.

Q: Can we upload visual context using Localazy (AI Translation & Localization API) inside VS Code Copilot?

Yes, you can. The agent uses uploadscreenshot to send UI mockups directly to your project, linking them to specific localization keys.

Q: How does VS Code Copilot interact with the Localazy (AI Translation & Localization API) glossary?

Copilot queries your glossary using listglossaryterms and can add or edit terms using createglossaryterm and updateglossaryterm based on your chat instructions.

Q: How can we verify webhook setups using this integration?

You can inspect active integrations by running listwebhooks. Your MCP agent can also modify configurations with updatewebhooks to trigger builds when translations change.

Automate translation workflows and manage localization files directly within VS Code Copilot using this MCP Server.

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Connect Localazy (AI Translation & Localization API) MCP to VS Code Copilot

Create your Vinkius account to connect Localazy (AI Translation & Localization API) to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Localazy (AI Translation & Localization API) with VS Code Copilot

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Manage Shared Translation Files

The `import_content` tool lets your development team push localized files directly to your project from the VS Code chat interface. This eliminates manual file exports and keeps translation assets up to date. Teams can use `list_files` to verify which assets are currently tracked in the remote project. Your agent can run `download_file` to pull down localized content during local builds.

Enforce Translation Glossaries with this VS Code Copilot MCP Server

The `create_glossary_term` tool creates clear definitions for technical terms directly from your workspace. Your agent uses `update_glossary_term` to refine descriptions as product features evolve. This ensures consistent branding across all locales by listing active definitions via `list_glossary_terms`. When features are retired, use `delete_glossary_term` to clean up the glossary database.

Organize Keys and Track CDN Releases

The `set_key_tags` tool lets you tag up to 1,000 keys simultaneously to group your translation assets. You can also run `set_key_priority` to signal which strings need immediate attention. Keep track of production assets using `list_cdn_metadata` to verify published release tags. This allows you to verify which translation versions are live on the CDN.

Setup guide

Set up Localazy (AI Translation & Localization API) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Localazy (AI Translation & Localization API) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Localazy (AI Translation & Localization API) tools listed. Try asking: "List my recent Localazy (AI Translation & Localization API) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "localazy-ai-translation-localization-api-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Localazy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Localazy (AI Translation & Localization API) MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and add the server configuration. This allows every developer on your team to access the translation tools automatically.

Yes, you can. The agent uses `upload_screenshot` to send UI mockups directly to your project, linking them to specific localization keys.

Copilot queries your glossary using `list_glossary_terms` and can add or edit terms using `create_glossary_term` and `update_glossary_term` based on your chat instructions.

You can inspect active integrations by running `list_webhooks`. Your MCP agent can also modify configurations with `update_webhooks` to trigger builds when translations change.

Your localization strings, glossary terms, and screenshots go directly to the API endpoints. No intermediate servers store your data, and credentials remain sandboxed within your local VS Code configuration.

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