Deepgram MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Deepgram through the 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: {
"deepgram": {
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 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Deepgram?"
);
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 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 10 tools through the 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 (STT) — Dispatch automated transcription requests for remote audio URLs using the lightning-fast Nova-2 model to consume explicit WAV/MP3 web streams
- Text-to-Speech (TTS) — Generate high-fidelity audio from raw text using Aura voices, outputting the exact binary stream footprint natively from your chat
- Usage Monitoring — Analyze specific global bounds hitting
/usageto map literally terabytes of exact API transcription times and TTS byte usage - Project & Key Management — List and create ephemeral Deepgram access boundaries (API keys) and isolate organizational tenants where Audio AI billing is enforced
- Wallet Oversight — Retrieve explicit cloud logging tracing explicit Vault limits and verify direct wallet thresholds to ensure pipelines never drop
- Identity & Invites — Manage developer limits by listing members and sending team invites to specific project UUIDs strictly
The Deepgram MCP Server exposes 10 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 Deepgram to Mastra AI via MCP
Follow these steps to integrate the Deepgram 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 10 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.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Deepgram 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 Deepgram 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
Deepgram + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Deepgram MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Deepgram, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Deepgram as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Deepgram on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Deepgram tools alongside other MCP servers
Deepgram MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Deepgram to Mastra AI via MCP:
create_key
Identify precise active arrays spanning native Gateway auth
delete_key
Inspect deep internal arrays mitigating specific Plan Math
get_balances
Retrieve explicit Cloud logging tracing explicit Vault limits
get_usage
Perform structural extraction of properties driving active Account logic
list_keys
Provision a highly-available JSON Payload generating hard Customer bindings
list_members
Dispatch an automated validation check routing explicit Gateway history
list_projects
Identify bounded CRM records inside the Headless Deepgram Platform
send_invite
Identify precise active arrays spanning native Hold parsing
speak_text
Enumerate explicitly attached structured rules exporting active Billing
transcribe_url
Irreversibly vaporize explicit validations extracting rich Churn flags
Example Prompts for Deepgram in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Deepgram immediately.
"Transcribe this audio: https://example.com/recording.mp3 using nova-2"
"Generate speech for: 'The future of AI is agentic' using aura-asteria-en"
"Show me my Deepgram usage for this month"
Troubleshooting Deepgram MCP Server with Mastra AI
Common issues when connecting Deepgram to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDeepgram + Mastra AI FAQ
Common questions about integrating Deepgram 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 Deepgram 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 Deepgram to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.