Groq MCP Server for Cursor 8 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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The modern way to manage MCP Servers — no config files, no terminal commands. Install Groq and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"groq": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 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.
Cursor's Agent mode turns Groq into an in-editor superpower. Ask Cursor to generate code using live data from Groq and it fetches, processes, and writes — all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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
The Groq MCP Server exposes 8 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Groq to Cursor via MCP
Follow these steps to integrate the Groq MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Groq
Open Agent mode in chat and ask: "Using Groq, help me..." — 8 tools available
Why Use Cursor with the Groq MCP Server
Cursor AI Code Editor provides unique advantages when paired with Groq through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Groq + Cursor Use Cases
Practical scenarios where Cursor combined with the Groq MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Groq MCP Tools for Cursor (8)
These 8 tools become available when you connect Groq to Cursor via MCP:
chat_completion
Supports Llama, Mixtral, Gemma models. Generate a chat completion with ultra-fast inference
create_embedding
Create text embeddings
get_model
Get model details
list_models
List available models
moderate_content
Check content for safety
structured_output
Generate structured JSON output
transcribe_audio
Transcribe audio to text
translate_audio
Translate audio to English text
Example Prompts for Groq in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Groq immediately.
"Ask llama3-70b: 'Write a python function to scrape a website.'"
"Transcribe this audio meeting: https://example.com/meeting.mp3"
"Get model info for 'mixtral-8x7b-32768'"
Troubleshooting Groq MCP Server with Cursor
Common issues when connecting Groq to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Groq + Cursor FAQ
Common questions about integrating Groq MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Groq with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Groq to Cursor
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.