Groq MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Groq through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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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 Groq, 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 Groq MCP Server
Connect your Groq account to any AI agent and take full control of your high-speed generative AI inference and LPU-accelerated LLM workflows through natural conversation.
The Vercel AI SDK gives every Groq tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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
- LPU Chat Orchestration — Execute blazing-fast text generation against hardware-accelerated Groq endpoints, utilizing Llama 3, Mixtral, and more flawlessly
- Intelligent Audio Transcription — Parse audio streams into high-accuracy language transcripts utilizing hardware-optimized Whisper models natively
- Cross-Lingual Translation — Evaluate non-English audio files and retrieve immediate translations exclusively into English text synchronousy
- Structured JSON Mode — Constrain AI text inference explicitly to rigid valid JSON formatting to automate data population and system integrations flawlessly
- Tool & Function Calling — Bind external definitions resolving explicit function call JSON architectures to enable your AI agents to interact with tools securely
- Model Discovery — Enumerate available high-speed models and retrieve specific model IDs and versions for precise active inference boundaries natively
- Inference Auditing — Monitor model capabilities and metadata properties to ensure your AI agents are utilizing the most efficient architectural instances synchronousy
The Groq MCP Server exposes 8 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 Groq to Vercel AI SDK via MCP
Follow these steps to integrate the Groq 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 8 tools from Groq and passes them to the LLM
Why Use Vercel AI SDK with the Groq MCP Server
Vercel AI SDK provides unique advantages when paired with Groq 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 Groq integration everywhere
Built-in streaming UI primitives let you display Groq 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
Groq + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Groq MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Groq in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Groq tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Groq capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Groq through natural language queries
Groq MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Groq to Vercel AI SDK via MCP:
chat_completion
Supports Llama, Mixtral, Gemma models. Generate a chat completion with ultra-fast inference
create_embedding
Create text embeddings
get_model
Get model details
list_models
List available models
moderate_content
Check content for safety
structured_output
Generate structured JSON output
transcribe_audio
Transcribe audio to text
translate_audio
Translate audio to English text
Example Prompts for Groq in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Groq immediately.
"Ask llama3-70b: 'Write a python function to scrape a website.'"
"Transcribe this audio meeting: https://example.com/meeting.mp3"
"Get model info for 'mixtral-8x7b-32768'"
Troubleshooting Groq MCP Server with Vercel AI SDK
Common issues when connecting Groq to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGroq + Vercel AI SDK FAQ
Common questions about integrating Groq 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 Groq 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 Groq to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.