Maestra MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Maestra through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"maestra": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Maestra Agent",
instructions:
"You help users interact with Maestra " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Maestra?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Maestra tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Maestra MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Maestra via MCP
Why Use Mastra AI with the Maestra MCP Server
Mastra AI provides unique advantages when paired with Maestra through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Maestra without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Maestra tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Maestra + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Maestra MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Maestra, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Maestra as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Maestra on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Maestra tools alongside other MCP servers
Maestra MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Maestra to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Maestra to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMaestra + Mastra AI FAQ
Common questions about integrating Maestra MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.