How to Use the Crowdin MCP in Vercel AI SDK

Q: How do I show Crowdin project progress with the Vercel AI SDK?

Your AI client can call listprojectfiles and then getfiledetails for each file. The AI SDK streams this data, letting you build live-updating progress bars in your React or Next.js app.

Q: Can my Vercel AI SDK app list Crowdin files for a project?

Yes. The listprojectfiles tool gives your agent a list of all files in a specific project, including their IDs and paths. You can stream this list directly into your UI.

Q: How do I get Crowdin translation memory stats in a Vercel AI SDK app?

Use the listtranslationmemories tool. Your AI client can get a list of all TMs and their segment counts. This is great for building dashboards that show translation reuse rates.

Q: What's the best way to get a list of all my projects?

Have your agent use the listprojects tool. It returns the name, ID, and source/target languages for every project in your Crowdin account.

Build UIs that stream Crowdin localization data in real-time with the Vercel AI SDK. No more loading spinners.

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…and any MCP-compatible client

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Connect Crowdin MCP to Vercel AI SDK

Create your Vinkius account to connect Crowdin to Vercel AI SDK 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 Crowdin with Vercel AI SDK

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Show Project Status Live

Your agent can ask for a project list using `list_projects`. With the Vercel AI SDK, that data doesn't just come back in a chunk. It streams directly into your React components, populating your UI as the data arrives. Then, your agent can dig deeper with `get_project_details` for any project the user clicks on. The project's source language, targets, and activity stats appear instantly. You're not building a page, you're building a live view into your Crowdin workspace.

Stream File Progress Updates

Give your users a real-time view of translation progress. An agent can call `list_project_files` to get all the files in a project. As the list comes in, your UI builds itself out, file by file. For each file, the agent uses `get_file_details` to check translation status per language. You can bind this data to a progress bar. Your users will literally watch the translations get done without ever hitting refresh.

Instant Context for Translators

Context switching kills productivity for translators. Fix it by building a smarter translation interface. Your agent can use `list_project_screenshots` to pull up relevant UI mockups for a given string. Images stream right into the view next to the text. Do the same with terminology by fetching terms from `list_glossaries`. The Vercel AI SDK makes the experience feel instant, giving your team the context they need, right when they need it.

Setup guide

Set up Crowdin MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Crowdin tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Crowdin transactions",
});

console.log(text);
await mcpClient.close();

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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Common questions about Crowdin MCP in Vercel AI SDK

Your AI client can call `list_project_files` and then `get_file_details` for each file. The AI SDK streams this data, letting you build live-updating progress bars in your React or Next.js app.

Yes. The `list_project_files` tool gives your agent a list of all files in a specific project, including their IDs and paths. You can stream this list directly into your UI.

Use the `list_translation_memories` tool. Your AI client can get a list of all TMs and their segment counts. This is great for building dashboards that show translation reuse rates.

Have your agent use the `list_projects` tool. It returns the name, ID, and source/target languages for every project in your Crowdin account.

This server only touches localization data like project names, file metadata, language settings, and screenshot identifiers. Your Crowdin API key is managed by Vinkius and never exposed to your front-end code. Each connection is isolated and temporary.

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