How to Use the Transifex MCP in Cursor

Q: How does Transifex integrate into Cursor?

You add the server details to your .cursor/mcp.json file, specifying the command or remote URL. Then you enable Agent mode in the chat. The AI client handles the rest.

Q: Can I get project data using Transifex with Cursor?

You can use getproject(o:org-slug:p:project-slug) to fetch a specific project by its slugs. The agent writes the live data directly into your code, so it's accurate.

Q: What kind of strings does Transifex support listing in Cursor?

The listresourcestrings tool lists source strings for a given resource ID. This means you get the original content that needs translation, ready to use in your code's logic.

Inject Transifex data into your code using Cursor's Agent mode.

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Connect Transifex MCP to Cursor

Create your Vinkius account to connect Transifex to Cursor 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 Transifex with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Generate code based on project structure.

The `get_project` tool lets the AI agent fetch a specific Transifex project by its slug. You can then use that live data context to write function calls or configuration files. This means when you're mid-coding, your agent doesn't hallucinate; it uses real API responses to build working code.

Build logic around resource strings.

Need to process localization keys? Use `list_resource_strings` with a defined resource ID. The AI pulls the source text and injects that live data directly into the file you're currently editing. It’s immediate context—you get the list of source strings right where your cursor is pointing.

Manage language metadata in code.

The `list_languages` tool quickly gives you a list of supported locales. Similarly, `get_language` retrieves details for one specific language ID. You can write logic that checks if a needed locale is available by letting the agent run these tools first.

Setup guide

Set up Transifex MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Transifex MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Transifex transactions." If the MCP tools are loaded correctly, Cursor will call the Transifex tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

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

You add the server details to your `.cursor/mcp.json` file, specifying the command or remote URL. Then you enable Agent mode in the chat. The AI client handles the rest.

You can use `get_project(o:org-slug:p:project-slug)` to fetch a specific project by its slugs. The agent writes the live data directly into your code, so it's accurate.

The `list_resource_strings` tool lists source strings for a given resource ID. This means you get the original content that needs translation, ready to use in your code's logic.

It touches localized project metadata and translatable source strings. Specifically, it handles resource slugs, language IDs, and the text content itself.

Transifex provides structured API responses for things like project listings, organization details, or specific resource strings. Your agent writes this JSON/data structure directly into your file.

Use it with your favorite AI tools

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