Groq MCP Server for WindsurfGive Windsurf instant access to 10 tools to Analyze Sentiment, Create Chat Completion, Explain Code, and more
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Groq through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
Ask AI about this App Connector for Windsurf
The Groq app connector for Windsurf is a standout in the Ai Frontier category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Groq and 3,400+ MCP Servers from a single visual interface.




{
"mcpServers": {
"groq-alternative": {
"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 Cloud account to any AI agent and leverage the incredible speed of LPU™ (Language Processing Unit) technology for real-time inference and content generation.
Windsurf's Cascade agent chains multiple Groq tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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
The Groq MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Groq tools available for Windsurf
When Windsurf connects to Groq through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-inference, lpu-hardware, real-time-ai, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Analyze sentiment of a text
Supports models like llama-3.3-70b-versatile. Generate a response using Groq LLM
Explain how a code snippet works
Extract named entities from text
Correct grammar and spelling errors
Generate code snippets from natural language
Get metadata for a specific model
List all available high-performance models
Summarize long text using Llama 3
Translate text between languages
Connect Groq to Windsurf via MCP
Follow these steps to wire Groq into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using Groq
Why Use Windsurf with the Groq MCP Server
Windsurf provides unique advantages when paired with Groq through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Groq + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Groq MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Groq and generate models, types, or handlers based on real API responses
Live debugging: query Groq tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Groq and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Groq data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for Groq in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Groq immediately.
"Summarize this long technical document: [text]"
"Generate a Python script for real-time data visualization."
"Analyze the sentiment of this user feedback: 'The speed is amazing but the UI needs work'."
Troubleshooting Groq MCP Server with Windsurf
Common issues when connecting Groq to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Groq + Windsurf FAQ
Common questions about integrating Groq MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.