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Speechnotes MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Generate Webhook Signature, Get Remaining Credits, Get Transcription Export, and more

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Speechnotes 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 Speechnotes app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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: {
      "speechnotes": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Speechnotes Agent",
    instructions:
      "You help users interact with Speechnotes " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Speechnotes?"
  );
  console.log(result.text);
}

main();
Speechnotes
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
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DLPData protection
V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Speechnotes MCP Server

Connect your Speechnotes account to any AI agent to automate your professional audio transcription and speech-to-text orchestration. Speechnotes provides a high-accuracy AI engine for converting audio files into text, and this integration allows you to initiate transcription jobs from URLs, monitor progress, and export results through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Speechnotes tool infrastructure. Connect 12 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

  • Transcription Orchestration — Initiate new transcription jobs from audio URLs and retrieve real-time status updates programmatically.
  • Job & History Lifecycle Management — List all past transcription jobs and retrieve detailed metadata, including timestamps and speaker counts directly from the AI interface.
  • Export & Format Control — Retrieve transcribed text in multiple formats (TXT, DOCX, SRT) and manage file exports via simple AI commands.
  • Language & Model Intelligence — Access available transcription languages and AI models to ensure your results are optimized for your specific content.
  • Operational Monitoring — Check your account credits, monitor usage statistics, and manage webhooks to ensure your transcription pipeline is always synchronized.

The Speechnotes MCP Server exposes 12 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 12 Speechnotes tools available for Mastra AI

When Mastra AI connects to Speechnotes through Vinkius, your AI agent gets direct access to every tool listed below — spanning transcription, speech-to-text, audio-processing, 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.

generate_webhook_signature

Sign payload

get_remaining_credits

Check account balance

get_transcription_export

Export result format

get_transcription_status

Check job progress

get_usage_statistics

Check usage logs

list_configured_webhooks

Get delivery endpoints

list_supported_languages

Get language codes

list_transcription_history

List past jobs

list_transcription_models

Get engine models

remove_transcription_job

Delete job record

test_speechnotes_auth

Check connection

transcribe_audio_url

Transcribe remote file

Connect Speechnotes to Mastra AI via MCP

Follow these steps to wire Speechnotes into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 12 tools from Speechnotes via MCP

Why Use Mastra AI with the Speechnotes MCP Server

Mastra AI provides unique advantages when paired with Speechnotes through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Speechnotes without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Speechnotes tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Speechnotes + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Speechnotes MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Speechnotes, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Speechnotes as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Speechnotes on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Speechnotes tools alongside other MCP servers

Example Prompts for Speechnotes in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Speechnotes immediately.

01

"Transcribe the audio file at this URL: 'https://example.com/interview.mp3'."

02

"Transcribe the latest team meeting recording and generate a summary with action items."

03

"Show me all transcriptions from the past week with their word counts and language detection."

Troubleshooting Speechnotes MCP Server with Mastra AI

Common issues when connecting Speechnotes to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Speechnotes + Mastra AI FAQ

Common questions about integrating Speechnotes MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.