How to Use the Cerebras Inference MCP in Cline

Drive autonomous coding tasks in VS Code with Cline using Cerebras Inference for instant, high-speed LLM executions.

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Connect Cerebras Inference MCP to Cline

Create your Vinkius account to connect Cerebras Inference to Cline 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 Cerebras Inference with Cline

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Claude

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Build batch pipelines autonomously with Cline

The `create_batch` tool allows Cline to run high-volume offline evaluations directly from your workspace. Cline writes the JSONL files, uploads them using `upload_file`, and starts the batch job. While the job runs, Cline checks status via `get_batch` and downloads the final output files using `get_file_content` to commit the results back to your git branch.

Let Cline choose the right MCP Server model

The `list_models` tool gives Cline a complete list of available hardware-accelerated models. Cline queries this list to match your task with the optimal model configuration. If keys are missing, Cline falls back to `list_public_models` to find public endpoints. It handles the switching logic so you never have to edit configuration files manually.

Track inference performance inside VS Code

The `get_metrics` tool exposes real-time Prometheus operational data directly to your editor. Cline reads these metrics to track token throughput and latency during heavy generations. This lets you debug slow runs or check API usage without leaving your coding workspace. Cline can even write a markdown summary of the performance data.

Setup guide

Set up Cerebras Inference MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type cerebras-inference-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Cerebras Inference refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "cerebras-inference-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 Cerebras Inference. 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 Cerebras Inference MCP in Cline

Cline calls the chat completion tools to generate code blocks at wafer-scale speeds. This high throughput lets Cline run multiple agent steps, write tests, and fix bugs in seconds instead of minutes.

Yes. Cline uses the batch tools to write local JSONL data, push it to the server, and monitor the processing queue until everything is parsed and saved.

Open the Cline sidebar, click the MCP Servers icon, and add the server using the Remote Servers tab. You can also edit your local cline_mcp_settings.json file directly.

Yes. You can tell Cline to cancel the job, and it will run the cancel tool to stop the processing immediately on the remote hardware.

No. Your API keys and chat payloads are sent securely to the Cerebras API endpoints. The server runs inside an ephemeral, zero-trust sandbox that deletes all runtime data as soon as the connection closes.

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