Deepgram MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Deepgram through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Deepgram, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Deepgram tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Deepgram MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Deepgram and passes them to the LLM
Why Use Vercel AI SDK with the Deepgram MCP Server
Vercel AI SDK provides unique advantages when paired with Deepgram through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Deepgram integration everywhere
Built-in streaming UI primitives let you display Deepgram tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Deepgram + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Deepgram MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Deepgram in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Deepgram tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Deepgram capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Deepgram through natural language queries
Deepgram MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Deepgram to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Deepgram to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDeepgram + Vercel AI SDK FAQ
Common questions about integrating Deepgram MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.