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Vinkius

Groq Connector for AI agents.

10 live capabilities

Get sub-second LLM inference and audio transcription for your apps.

Live agent request Groq / Connector

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AI Agent

Why people use Groq

Groq for High-Speed LLM Inference and Transcription

With this Connector, you just drop the audio link into your chat. Your agent handles the transcription and can even format it into a table or a JSON object for you. You get the final data in seconds.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get near-instant AI responses and audio processing without the usual wait times.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Building a real-time chatbot

    A developer wants to build a chatbot that feels alive.

  2. Real-world use case 02

    Processing hours of interviews

    A researcher has 50 hours of audio.

  3. Real-world use case 03

    Automating data entry

    A product manager needs a JSON payload from a chat.

Complete set · 10capabilities

The complete Groq capability set.

These are the exact actions your AI can choose when you ask it to work with Groq.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through Groq.

  1. 01 Capability

    Fix grammar

    Correct grammar and spelling errors

  2. 02 Capability

    Create chat completion

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

  3. 03 Capability

    Explain code

    Explain how a code snippet works

  4. 04 Capability

    Extract entities

    Extract named entities from text

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Groq.

  1. 05 Capability

    Generate code

    Generate code snippets from natural language

  2. 06 Capability

    Get model details

    Get metadata for a specific model

  3. 07 Capability

    List available models

    List all available high-performance models

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Groq.

  1. 08 Capability

    Analyze sentiment

    Analyze sentiment of a text

  2. 09 Capability

    Summarize text

    Summarize long text using Llama 3

  3. 10 Capability

    Translate text

    Translate text between languages

Set up in minutes

One URL. Then ask Groq to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Groq from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_WfUTcJUhUbZoxLvhgsNhWR0DuV2dtLlyi1EbeeWm/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Groq, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Groq for the conversation.

Where the request belongs

Work Groq can move forward.

Built around the request

This is for developers and data teams who are tired of waiting for LLM responses. It's for the engineer building a real-time app who needs sub-second latency and the researcher processing hundreds of hours of audio.

01

AI Developer

Testing capability-calling logic and prompt responses with minimal latency.

02

Software Engineer

Generating structured JSON data to populate databases directly from a chat.

03

Data Scientist

Comparing open-source model performance on LPU hardware.

When one Connector is not enough

Combine Groq with the systems that finish the task.

View all recipes
01

Cut AI Model Costs Without Losing Quality via MCP

Your GPT-4o bill is $4,200/month and 60% of those calls could run on Groq for $0.003 , your agent finds the waste

 02

MCP Recipe for AI Inference Monitoring

Your GPT-4 API takes 4 seconds per response , Groq returns the same quality answer in 180 milliseconds, Langfuse traces every call, and Sheets shows the latency-cost comparison that makes your product feel instant

 03

Route AI Requests to the Fastest Model via MCP

You run everything on GPT-4o because choosing a model per task is hard , your agent benchmarks Groq and Mistral against your actual workloads

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Groq logo
01 10 capabilities

Groq

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

View Connector
LocalAI logo
02 19 capabilities

LocalAI

Run LLMs, generate images, and process audio locally. OpenAI-compatible API for your own hardware.

View Connector
Eden AI logo
03 13 capabilities

Eden AI

Access 100+ AI models through a single API. route LLMs, generate embeddings, and execute specialized AI tasks like OCR and translation.

View Connector
Fireworks AI logo
04 6 capabilities

Fireworks AI

Empower LLM applications via Fireworks AI. perform ultra-fast chat completions, generate embeddings and images, and transcribe audio directly from any AI agent.

View Connector
Keywords AI logo
05 11 capabilities

Keywords AI

Monitor and optimize your LLM API usage with a unified gateway that tracks costs, latency, and model performance across providers.

View Connector
Z.AI logo
06 12 capabilities

Z.AI

Access the full Z.AI platform from any AI agent. chat completions with GLM models, image and video generation, audio transcription, OCR, web search, and agent capabilities.

View Connector

Bring your own AI

Change the model, client or framework. Keep Groq connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Groq.

The practical details behind the request, access and result.

What does the Groq MCP do for my AI agent?

It connects your agent to high-speed LPU-accelerated inference. This means your agent can generate text, transcribe audio, and handle structured data much faster than standard connections.

Can I use Groq MCP for audio transcription?

Yes, you can. The Connector includes a specific capability to turn audio files into accurate text transcripts, which is great for meetings or research.

How fast is Groq MCP inference?

It is designed for sub-second latency. It uses LPU acceleration to deliver text completions almost instantly, making it ideal for real-time applications.

Does Groq MCP support Llama 3?

Yes, it supports several high-performance models, including Llama 3 and Mixtral, allowing you to choose the best fit for your specific task.

Can I get JSON from Groq MCP?

Yes, you can use the structured output capability to force your agent to return data in a strict JSON format, which is perfect for populating databases or app backends.

Does Groq MCP support translation?

Yes, it includes a capability to take non-English audio files and convert them directly into English text, saving you the step of manual translation.

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' capability 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' capability. 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' capability. 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 do I get a Groq API Key?

Log in to your Groq Cloud account, navigate to the API Keys section, and click Create API Key.

Which models provide the best performance?

Models like llama-3.3-70b-versatile and mixtral-8x7b-32768 provide an excellent balance of high-fidelity reasoning and speed on Groq.

Can I use Groq for code generation?

Yes! Use the generate_code and explain_code capabilities to ask the models to write snippets or provide step-by-step logic explanations.

One connection away

Give your agent a direct line to Groq.

Connect Groq once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available