Groq

Groq MCP Connector for Claude

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Empower LLM applications via Groq — perform ultra-fast LPU-accelerated chat completions, handle audio transcription and translation, and use JSON mode directly from any AI agent.

8 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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

  1. Subscribe to this server
  2. Enter your Groq API Key (found in your Groq Cloud Dashboard > API Keys)
  3. 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
llm-inferencelpu-accelerationai-latencyaudio-transcriptiongenerative-aihigh-performance-computing

8 tools expose this connector's capabilities to your AI agent.

chat_completion

Supports Llama, Mixtral, Gemma models. Generate a chat completion with ultra-fast inference

list_models

List available models

get_model

Get model details

create_embedding

Create text embeddings

transcribe_audio

Transcribe audio to text

translate_audio

Translate audio to English text

moderate_content

Check content for safety

structured_output

Generate structured JSON output

See how to talk to your AI agent using Groq.

Ask llama3-70b: 'Write a python function to scrape a website.'

Inference complete! Llama 3 response: 'Here is a simple python function using BeautifulSoup and requests to scrape data...' [Blazing-fast response delivered via Groq LPU].

Transcribe this audio meeting: https://example.com/meeting.mp3

Transcription started! I'm using Groq optimized Whisper large-v3 model to parse your meeting audio. I'll provide the full timestamped text for you in just a few seconds.

Get model info for 'mixtral-8x7b-32768'

Retrieving model metadata... Mixtral-8x7b-32768 is a high-performance LLM with a context window of 32,768 tokens. It supports chat completions and tool-calling on Groq's LPU architecture.

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.

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