AssemblyAI MCP Server for Mastra AIGive Mastra AI instant access to 9 tools to Delete Transcript, Get Chapters, Get Sentiments, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect AssemblyAI through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The AssemblyAI app connector for Mastra AI is a standout in the Ai Frontier category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"assemblyai-alternative": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "AssemblyAI Agent",
instructions:
"You help users interact with AssemblyAI " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with AssemblyAI?"
);
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 AssemblyAI MCP Server
Connect your AssemblyAI account to any AI agent and take full control of your high-fidelity audio transcription and speech intelligence workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and AssemblyAI tool infrastructure. Connect 9 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
- Speech-to-Text Orchestration — Programmatically transcribe public audio or video URLs using state-of-the-art MARS models with superhuman accuracy
- Audio Intelligence — Extract high-fidelity insights including automated summaries, sentiment analysis, and topic detection directly through your agent
- Speaker Diarization Architecture — Retrieve detailed utterances separated by speaker labels to coordinate meeting minutes and interview transcripts perfectly
- Content Discovery — Access automated chapters and high-fidelity video recaps to maintain a perfectly coordinated media library
- Lifecycle Management — Monitor transcription job status and manage your directory of recent transcripts directly through your agent for instant reporting
The AssemblyAI MCP Server exposes 9 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.
All 9 AssemblyAI tools available for Mastra AI
When Mastra AI connects to AssemblyAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-intelligence, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Delete a transcript
Get auto-chapters
Get sentiment analysis
Get speaker labels
Get auto-summary
Get topic detection
Get transcript status/result
List recent transcripts
Transcribe audio URL
Connect AssemblyAI to Mastra AI via MCP
Follow these steps to wire AssemblyAI into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the AssemblyAI MCP Server
Mastra AI provides unique advantages when paired with AssemblyAI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add AssemblyAI 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 AssemblyAI 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
AssemblyAI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the AssemblyAI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query AssemblyAI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed AssemblyAI as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query AssemblyAI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using AssemblyAI tools alongside other MCP servers
Example Prompts for AssemblyAI in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with AssemblyAI immediately.
"Transcribe this podcast URL: 'https://example.com/audio.mp3' and enable speaker diarization."
"Show my 5 most recent transcription jobs."
"Get the sentiment analysis for transcript 'tr_123'."
Troubleshooting AssemblyAI MCP Server with Mastra AI
Common issues when connecting AssemblyAI to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAssemblyAI + Mastra AI FAQ
Common questions about integrating AssemblyAI 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.