Groq Connector for AI agents.
10 live capabilities
Get sub-second responses for real-time content generation and data processing.
Waiting for input…
Why people use Groq
Groq for High-Speed LLM Inference
This Connector removes the wait. By hooking into LPU hardware, your agent responds almost as fast as a human can type. You get the results you need in milliseconds, not seconds.
What Vinkius changes
This Connector turns your AI into a high-velocity engine for real-time data processing.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Analyzing thousands of customer reviews
A data analyst needs to know the mood of 1,000 customer reviews.
- Real-world use case 02
Understanding legacy codebases
A developer wants to understand a legacy script.
- Real-world use case 03
Summarizing technical documentation
A writer has a 50-page PDF.
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.
01—04
4 capabilities in this set.
Part of 10 available through Groq.
- 01 Capability
Extract entities
Pull out names, dates, and locations from messy text. This helps turn unstructured data into clean JSON objects.
- 02 Capability
Generate code
Turn a plain English request into a working code snippet. It handles the logic so you can focus on the implementation.
- 03 Capability
Get model details
See the specs for every model available in the Groq cloud. You can check ownership and capabilities before you start.
- 04 Capability
Analyze sentiment
Figure out the mood of a piece of text instantly. It is great for checking customer feedback at scale.
05—07
3 capabilities in this set.
Part of 10 available through Groq.
- 05 Capability
Summarize text
Turn a long article or document into a few key points. It uses Llama 3 to keep the summary accurate.
- 06 Capability
Translate text
Switch text from one language to another without losing meaning. It works across a wide variety of language pairs.
- 07 Capability
Fix grammar
Clean up typos and grammatical mistakes in your writing. It makes your drafts look professional in a second.
08—10
3 capabilities in this set.
Part of 10 available through Groq.
- 08 Capability
Create chat completion
Get a direct response from a high-performance model like Llama 3.3. It is the core capability for fast, conversational outputs.
- 09 Capability
Explain code
Ask what a specific block of code is actually doing. It breaks down complex logic into plain English.
- 10 Capability
List available models
See the full lineup of models you can use right now. This helps you choose the best fit for your specific task.
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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_OJbgYH767bwy3zFmYsi0HRS8D45p5qQyr99rYAx8/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Groq, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Groq for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_OJbgYH767bwy3zFmYsi0HRS8D45p5qQyr99rYAx8/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Groq URL.
- Step 03
Save and start
Save the connection and enable Groq in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"groq-alternative": {
"url": "https://edge.vinkius.com/vk_preview_OJbgYH767bwy3zFmYsi0HRS8D45p5qQyr99rYAx8/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Groq
Open Agent mode in chat and ask: "Using Groq, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"groq-alternative": {
"url": "https://edge.vinkius.com/vk_preview_OJbgYH767bwy3zFmYsi0HRS8D45p5qQyr99rYAx8/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Groq
Ask Copilot: "Using Groq, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"groq-alternative": {
"url": "https://edge.vinkius.com/vk_preview_OJbgYH767bwy3zFmYsi0HRS8D45p5qQyr99rYAx8/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Groq
Open Cascade and ask: "Using Groq, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"groq-alternative": {
"url": "https://edge.vinkius.com/vk_preview_OJbgYH767bwy3zFmYsi0HRS8D45p5qQyr99rYAx8/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Groq
Ask Cline: "Using Groq, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add groq-alternative --transport http "https://edge.vinkius.com/vk_preview_OJbgYH767bwy3zFmYsi0HRS8D45p5qQyr99rYAx8/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Groq
Ask Claude: "Using Groq, show me...". 10 tools are ready
Where the request belongs
Work Groq can move forward.
This is for the AI developer who can't stand latency and the data analyst who needs to process thousands of rows of text without waiting for a spinner to stop.
AI Developer
Building low-latency apps that need to feel snappy and responsive for end users.
Data Analyst
Processing huge volumes of text for sentiment or entity extraction without the usual inference lag.
Technical Writer
Summarizing massive technical docs and explaining code snippets in seconds to keep up with production deadlines.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Cerebras Inference
Access lightning-fast AI inference via Cerebras Wafer-Scale Engine. generate chat completions, manage models, and run batch jobs at record speeds.
Keywords AI
Monitor and optimize your LLM API usage with a unified gateway that tracks costs, latency, and model performance across providers.
NVIDIA AI
Access LLMs, embeddings, code generation, and reasoning via NVIDIA API Catalog.
Together AI
Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure.
DeepInfra (Serverless LLM Inference)
Run top-tier LLMs, image generation, and embeddings via DeepInfra's serverless infrastructure directly from your AI agent.
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.
Can Groq MCP make my AI respond faster?
Yes. It uses specialized hardware to deliver near-instant responses, making your agent feel much more responsive in real-time chats.
How does Groq MCP help with data analysis?
It allows your agent to process large volumes of text for sentiment analysis and entity extraction with much higher velocity than standard models.
Is Groq MCP good for summarizing long documents?
It is excellent for that. It uses high-performance models to distill long technical papers or articles into key points in seconds.
Can I use Groq MCP to translate text in real time?
Yes, it can translate text between various languages quickly, which is perfect for content generation workflows.
What models can I use with the Groq MCP?
You can access a variety of high-performance models, including Llama 3.3 and Mixtral, depending on what is available in the cloud.
Does Groq MCP support code explanation?
Yes, your agent can use it to break down complex code snippets into plain English, making it easier to understand legacy logic.
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