Bring Llm Inference
to Vercel AI SDK
Create your Vinkius account to connect Groq to Vercel AI SDK and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Groq API Key (found in your Groq Cloud Dashboard > API Keys)
- Start managing your ultra-fast AI inference from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI Developers — test and debug LLM prompts and tool-calling logic with sub-second latency
- Software Engineers — generate structured JSON data and transcribe audio files directly from the IDE or chat
- Product Teams — monitor model availability and test generative AI features with real-time speed
- Data Scientists — evaluate different open-source model performances on Groq's LPU architecture through natural conversation
Built-in capabilities (8)
Supports Llama, Mixtral, Gemma models. Generate a chat completion with ultra-fast inference
Create text embeddings
Get model details
List available models
Check content for safety
Generate structured JSON output
Transcribe audio to text
Translate audio to English text
Why Vercel AI SDK?
The Vercel AI SDK gives every Groq tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Groq integration everywhere
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Built-in streaming UI primitives let you display Groq tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Groq in Vercel AI SDK
Why run Groq with Vinkius?
The Groq connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Groq using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Groq and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Groq to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Groq for Vercel AI SDK
Every request between Vercel AI SDK and Groq is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How fast are Groq's chat completions compared to standard GPUs?
Groq's LPU architecture is designed for extreme low-latency inference, often delivering hundreds of tokens per second. Your agent uses the 'chat' tool to execute these blazing-fast requests, returning AI responses almost instantly.
Can my agent transcribe long audio files using Groq Whisper?
Yes. Use the 'transcribe' tool. Provide the public URL of your audio file and select a Whisper model (e.g., 'whisper-large-v3'). The agent will parse the stream and return the full text transcript flawlessly.
How do I ensure the AI response is formatted as valid JSON via chat?
Use the 'chat_json' tool. This activates Groq's JSON mode, which explicitly constrains the text inference to rigid, valid JSON formatting, making it perfect for direct system integrations.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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