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Speechmatics MCP Server for Mastra AIGive Mastra AI instant access to 8 tools to Create Job, Create Temp Key, Delete Job, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Speechmatics 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 for Mastra AI

The Speechmatics MCP Server for Mastra AI is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
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: {
      "speechmatics": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Speechmatics Agent",
    instructions:
      "You help users interact with Speechmatics " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Speechmatics
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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 Speechmatics MCP Server

Connect Speechmatics to your AI agent to handle advanced audio processing workflows. This server enables high-accuracy transcription and natural-sounding speech synthesis through a simple interface.

Mastra's agent abstraction provides a clean separation between LLM logic and Speechmatics 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

  • Batch Transcription — Submit audio via URL or base64 and process large files with industry-leading accuracy using create_job.
  • Text-to-Speech (TTS) — Convert text into natural human speech using high-quality voices like Sarah, Theo, Megan, or Jack via generate_tts.
  • Transcript Retrieval — Export completed transcriptions in multiple formats including JSON, plain text, or SRT subtitles using get_transcript.
  • Job Management — Monitor the status of your processing tasks, list recent activity, and manage resources with list_jobs and get_job.
  • Usage & Security — Track your account consumption with get_usage and generate temporary keys for secure client-side access using create_temp_key.

The Speechmatics MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Speechmatics tools available for Mastra AI

When Mastra AI connects to Speechmatics through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, text-to-speech, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create job on Speechmatics

Create a new batch transcription job

create

Create temp key on Speechmatics

Create a temporary API key

delete

Delete job on Speechmatics

Delete a transcription job

generate

Generate tts on Speechmatics

Generate speech from text (TTS)

get

Get job on Speechmatics

Get details for a specific job

get

Get transcript on Speechmatics

Retrieve the transcript for a job

get

Get usage on Speechmatics

Get usage statistics

list

List jobs on Speechmatics

List recent transcription jobs

Connect Speechmatics to Mastra AI via MCP

Follow these steps to wire Speechmatics into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind 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 8 tools from Speechmatics via MCP

Why Use Mastra AI with the Speechmatics MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Speechmatics 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 Speechmatics 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

Speechmatics + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Speechmatics 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 Speechmatics on a cron and store results in your database automatically

04

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

Example Prompts for Speechmatics in Mastra AI

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

01

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

02

"Generate an audio file of Sarah saying 'Welcome to the future of speech technology'."

03

"List my 5 most recent transcription jobs."

Troubleshooting Speechmatics MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Speechmatics + Mastra AI FAQ

Common questions about integrating Speechmatics 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.

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