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How to Use the Crowdin MCP in VS Code Copilot

Team-wide Crowdin localization management directly inside VS Code Copilot.

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VS Code Copilot

Connect Crowdin MCP to VS Code Copilot

Create your Vinkius account to connect Crowdin 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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Track translation tasks inside VS Code Copilot

The `list_project_tasks` tool retrieves translation and proofreading task lists, complete with status and assigned linguist references. VS Code Copilot displays these tasks directly in your chat sidebar. Your team can check who is working on a translation without leaving the code editor. This prevents engineers from pushing code changes that conflict with active localization workflows.

Query file details via this MCP Server

The `get_file_details` tool fetches file structures, revision histories, and per-language translation boundaries. VS Code Copilot references this metadata to verify if your local JSON files match the remote server. Copilot uses this revision history to track down when a specific localization file was updated. This helps your team debug missing string errors directly from the terminal.

Audit localization reports with your team

The `list_project_reports` tool pulls generated report names, types, and creation timestamps. VS Code Copilot reads these reports to show your team translation costs and progress metrics. Instead of logging into a web dashboard, you ask Copilot to find the latest translation progress report. The editor fetches the timestamped report details so you can plan releases with accurate data.

Setup guide

Set up Crowdin 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. 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. 2

    Add the Crowdin 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. 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. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the Crowdin tools listed. Try asking: "List my recent Crowdin transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "crowdin-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Crowdin. 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 Crowdin MCP in VS Code Copilot

Add the server settings to a .vscode/mcp.json file and commit it to your Git repository. Every developer on your team using VS Code Copilot will automatically gain access to these MCP tools.
Yes, VS Code Copilot calls the `list_glossaries` tool to pull active glossary names and language pairs. The agent reads this terminology to help your team maintain consistent naming conventions across all source files.
VS Code Copilot uses the `get_project_details` tool to view active target languages and source settings. This lets your team quickly check if a newly added locale is properly configured on the server.
You need VS Code version 1.96 or higher to run MCP servers. Once updated, you can configure the server globally or per-project to start querying your translation assets.
All requests for translation progress metrics and project file lists are processed through a stateless, sandboxed runtime environment. Your API keys and localization metadata are never logged or exposed to external LLM training loops.

Start using the Crowdin MCP today

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