Maestra MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Maestra through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Maestra, 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 Maestra MCP Server
Connect your Maestra.ai account to any AI agent to automate your media processing workflows. This MCP server enables your agent to upload audio/video files for transcription, translate transcripts into 125+ languages, and generate synthetic AI voiceovers directly from natural language interfaces.
The Vercel AI SDK gives every Maestra tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Automated Transcription — Upload media files via public URLs and receive accurate, speaker-aware transcripts instantly
- Global Translation — Translate existing transcriptions into over 125 different languages to reach a worldwide audience
- AI Dubbing — Generate high-quality synthetic voiceovers for your media using a wide range of available AI voices
- Asset Management — List all files in your account, monitor processing statuses, and organize content into folders
- Result Export — Generate temporary download links for results in formats like SRT, VTT, PDF, and JSON
The Maestra MCP Server exposes 8 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 Maestra to Vercel AI SDK via MCP
Follow these steps to integrate the Maestra 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 8 tools from Maestra and passes them to the LLM
Why Use Vercel AI SDK with the Maestra MCP Server
Vercel AI SDK provides unique advantages when paired with Maestra 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 Maestra integration everywhere
Built-in streaming UI primitives let you display Maestra 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
Maestra + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Maestra MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Maestra in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Maestra tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Maestra capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Maestra through natural language queries
Maestra MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Maestra to Vercel AI SDK via MCP:
export_transcription_results
Get an export link for a processed file
generate_ai_voiceover
Generate a synthetic voiceover for a media file
get_file_details
Get details and status for a specific file
list_account_folders
List all folders in your account
list_available_ai_voices
List all available synthetic AI voices
list_maestra_files
List all audio and video files in your Maestra account
translate_transcription
Translate an existing transcription into a new language
upload_media_for_transcription
Requires a public file URL and target source language. Upload a new file for transcription
Example Prompts for Maestra in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Maestra immediately.
"Upload the video at 'https://example.com/video.mp4' for English transcription in Maestra."
"List all available AI voices for French."
"Get an SRT export link for file ID 'vid-12345'."
Troubleshooting Maestra MCP Server with Vercel AI SDK
Common issues when connecting Maestra to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMaestra + Vercel AI SDK FAQ
Common questions about integrating Maestra 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 Maestra 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 Maestra to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.