Crowdin MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Crowdin through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Crowdin, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Crowdin MCP Server
Integrate Crowdin, the leading localization management platform, directly into your AI workflow. Manage your translation projects, monitor file statuses, and track localization tasks using natural language.
The Vercel AI SDK gives every Crowdin tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Project Management — List and retrieve detailed settings and statuses for all your localization projects.
- File Operations — Monitor files within projects and retrieve specific file metadata.
- Task & Workflow Tracking — Track translation and proofreading tasks to ensure timely delivery.
- Resource Insights — Access glossaries, translation memories, and supported language lists via chat.
The Crowdin MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Crowdin to Vercel AI SDK via MCP
Follow these steps to integrate the Crowdin MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Crowdin and passes them to the LLM
Why Use Vercel AI SDK with the Crowdin MCP Server
Vercel AI SDK provides unique advantages when paired with Crowdin through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Crowdin integration everywhere
Built-in streaming UI primitives let you display Crowdin tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Crowdin + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Crowdin MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Crowdin in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Crowdin tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Crowdin capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Crowdin through natural language queries
Crowdin MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Crowdin to Vercel AI SDK via MCP:
get_file_details
Touches file structure, revision history, and per-language translation status boundaries. Get metadata for a specific file in a project
get_project_details
Touches source/target language settings and project-level activity summary boundaries. Get detailed settings and status for a project
list_glossaries
Resolves glossary names, IDs, and language pairs used for terminology management. List all glossaries available in the account
list_project_files
Resolves file names, IDs, paths, and current translation progress metrics. List all files within a specific project
list_project_reports
Resolves report names, types (Translation Costs, Progress), and creation timestamps. List generated reports for a specific project
list_project_screenshots
Resolves screenshot IDs, tags, and linked string identifiers used for visual context. List all screenshots uploaded to a project for context
list_project_tasks
Resolves task titles, types (Translation, Proofreading), status, and assigned linguist references. List translation and proofreading tasks for a project
list_projects
Resolves project names, IDs, source languages, and target languages for localization workflows. List all localization projects in your Crowdin account
list_supported_languages
Resolves language codes, human-readable names, and locale identifiers. List all languages supported by Crowdin
list_translation_memories
Resolves TM names, IDs, and segment counts for reuse in future translations. List all translation memories (TMs) available
Example Prompts for Crowdin in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Crowdin immediately.
"List all localization projects in my account."
"What is the status of files in project 'Mobile App'?"
"List all active translation tasks for my projects."
Troubleshooting Crowdin MCP Server with Vercel AI SDK
Common issues when connecting Crowdin to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCrowdin + Vercel AI SDK FAQ
Common questions about integrating Crowdin MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Crowdin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Crowdin to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.