How to Use the Groq MCP in Windsurf

Use Groq to power your Windsurf agent with instant inference for complex coding tasks.

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Connect Groq MCP to Windsurf

Create your Vinkius account to connect Groq to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Groq with Windsurf

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Perplexity

Real-time inference in Windsurf

Cascade needs speed to chain multi-step actions without waiting for model response times. By connecting this MCP Server, your agent taps directly into LPU hardware to execute planning and code generation cycles in milliseconds. `create_chat_completion` and `generate_code` provide the raw token throughput required for Cascade to build features in a single flow. You stop watching progress bars and start reviewing completed diffs.

Context-aware code analysis

Windsurf agents often struggle with long-form codebase explanations or entity extraction. This server offloads those compute-heavy tasks to specialized models, keeping your IDE responsive. Use `explain_code` and `extract_entities` to parse complex logic blocks. The agent gains high-speed insight into your project structure without the usual latency penalty.

Dynamic model management

You shouldn't guess which models perform best for specific coding tasks. This server gives you direct access to metadata and model lists inside the IDE environment. `list_available_models` and `get_model_details` let you verify capabilities before execution. It keeps your agent aligned with the latest high-performance options.

Setup guide

Set up Groq MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Groq MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Groq payment history." If connected, Cascade will call the Groq tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "groq-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Groq. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Groq MCP in Windsurf

Open your Windsurf settings and navigate to the Cascade MCP panel. Add the server configuration under mcpServers, or use the built-in marketplace to install it with one click.

Yes. By using the LPU backend, your agent generates responses almost instantly. This reduces the time Cascade spends thinking between steps.

It handles large contexts efficiently using Llama 3. You can summarize files or explain logic without hitting standard inference bottlenecks.

Your code is sent as a request payload to the API for processing. It is never stored or used to train models, ensuring your intellectual property remains private.

The server returns a structured error response to your agent. You can then retry or pivot to a different model using the provided toolset.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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