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Deepgram MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Convert Text To Speech, Get Project Usage, List Api Keys, and more

Built by Vinkius GDPR 6 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Deepgram 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 Deepgram app connector for Mastra AI is a standout in the Ai Frontier category — giving your AI agent 6 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: {
      "deepgram-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Deepgram Agent",
    instructions:
      "You help users interact with Deepgram " +
      "using 6 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Deepgram
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 Deepgram MCP Server

Connect your Deepgram account to any AI agent and take full control of your speech-to-text (STT) and text-to-speech (TTS) workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Deepgram tool infrastructure. Connect 6 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 — Convert speech from public audio or video URLs into high-fidelity text programmatically using the latest Nova-3 models with smart formatting and diarization
  • Neural Speech Synthesis — Programmatically generate natural-sounding audio from text input using the high-speed Aura engine to coordinate voice-enabled interfaces
  • Model Discovery — Access complete directories of high-performance STT and TTS models supported by Deepgram to ensure the perfect accuracy and latency for your content
  • Project & Usage Monitoring — Programmatically track your API utilization, minute consumption, and request counts across multiple projects for instant operational reporting
  • Credential Lifecycle — Retrieve identifiers for active API keys associated with your projects directly through your agent to maintain high-fidelity security oversight

The Deepgram MCP Server exposes 6 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 6 Deepgram tools available for Mastra AI

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

convert_text_to_speech

Generate audio from text (TTS)

get_project_usage

Check API usage and limits

list_api_keys

List active API keys

list_available_models

List high-performance AI models

list_deepgram_projects

List your Deepgram projects

transcribe_audio_url

Transcribe an audio file via URL

Connect Deepgram to Mastra AI via MCP

Follow these steps to wire Deepgram 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 6 tools from Deepgram via MCP

Why Use Mastra AI with the Deepgram MCP Server

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

01

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

Deepgram + Mastra AI Use Cases

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

01

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

02

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

04

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

Example Prompts for Deepgram in Mastra AI

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

01

"Transcribe the audio from this URL: 'https://static.deepgram.com/examples/interview_segments_nuwav.wav'."

02

"Convert this text to speech: 'Deepgram is the fastest way to add voice to your AI'."

03

"List all active API keys for project 'proj_123'."

Troubleshooting Deepgram MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Deepgram + Mastra AI FAQ

Common questions about integrating Deepgram 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.