MCP For Claude Marketplace
Groq

Groq MCP Connector for Claude

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Run large language models at unprecedented speed with custom LPU hardware that delivers real-time AI inference at massive scale.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Groq Cloud account to any AI agent and leverage the incredible speed of LPU™ (Language Processing Unit) technology for real-time inference and content generation.

What you can do

  • Chat Orchestration — Generate high-speed chat completions using state-of-the-art models like Llama 3.3 and Mixtral with sub-second latency
  • Model Intelligence — List all available high-performance models and retrieve detailed metadata regarding ownership and capabilities
  • Text Processing — Programmatically summarize long documents, analyze sentiment, and translate text between languages instantly
  • Developer Automation — Generate optimized code snippets, explain complex logic, and perform grammar correction through natural language
  • Entity Extraction — Identify and extract structured information (names, dates, locations) from unstructured text as JSON objects

How it works

  1. Subscribe to this server
  2. Retrieve your API Key from the Groq Cloud console (API Keys section)
  3. Start leveraging high-speed LLM inference from Claude, Cursor, or any MCP client

No more waiting for slow model responses. Your AI acts as a real-time intelligence engine delivering results in milliseconds.

Who is this for?

  • AI Developers — build low-latency applications and experiment with different high-performance models programmatically
  • Data Analysts — process large volumes of text for sentiment and entity extraction without the friction of traditional LLM speeds
  • Technical Writers — instantly summarize technical docs and explain code snippets for documentation workflows
llm-inferencelpu-hardwarereal-time-aichat-completionslow-latencymodel-orchestration

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

fix_grammar

Correct grammar and spelling errors

create_chat_completion

Supports models like llama-3.3-70b-versatile. Generate a response using Groq LLM

explain_code

Explain how a code snippet works

extract_entities

Extract named entities from text

generate_code

Generate code snippets from natural language

get_model_details

Get metadata for a specific model

list_available_models

List all available high-performance models

analyze_sentiment

Analyze sentiment of a text

summarize_text

Summarize long text using Llama 3

translate_text

Translate text between languages

See how to talk to your AI agent using Groq.

Summarize this long technical document: [text]

Processing with Groq... I've summarized the document into 5 key points. The main focus is on decentralized architecture and latency optimization. Would you like a more detailed breakdown of the second section?

Generate a Python script for real-time data visualization.

Generating code... I've written a Python script using Matplotlib and FuncAnimation for real-time visualization. It includes a mock data generator and a smooth updating plot. Shall I explain how it handles the animation loop?

Analyze the sentiment of this user feedback: 'The speed is amazing but the UI needs work'.

Analyzing sentiment... The overall sentiment is 'Neutral' to 'Positive'. The user is highly satisfied with performance (speed) but expresses a specific pain point regarding the user interface. I've logged this as a potential UI improvement task.

Log in to your [**Groq Cloud account**](https://console.groq.com/), navigate to the **API Keys** section, and click **Create API Key**.

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