How to Use the Cerebras Inference MCP in Cursor

Q: How does the Cerebras Inference MCP Server work inside Cursor?

You add the server to your mcp.json file. In Cursor's chat, you can then command the agent to use the Cerebras tools. It calls the API and uses the live data to write or modify your code.

Q: What's the best way to use Cerebras Inference for code generation in Cursor?

Use createcompletion for direct code snippets or text. For more complex logic, use createchatcompletion in a conversation with the agent to refine the task before it writes the final code.

Inject live Cerebras model outputs directly into your code. Let your Cursor agent write API clients and process data with real inference results.

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Connect Cerebras Inference MCP to Cursor

Create your Vinkius account to connect Cerebras Inference to Cursor 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Code with Live Inference Data

This is where things get interesting. Tell your Cursor agent to hit the Cerebras API, get a result, and write the code that uses it. Ask it to "generate a function that uses this prompt," and the agent will call `create_completion` and inject the real output as a comment or a variable. It's not just for one-off generations. You can ask your agent to fetch the list of available models using `list_models` and then generate a dropdown menu in your UI code populated with those exact model names. The code it writes is based on actual, live data, not placeholders.

Build and Test Batch Processing Scripts in Cursor

When you're writing a script to manage batch jobs, you can test it against the real service. Ask Cursor's agent to call `upload_file` and `create_batch` to check your script's logic against the live Cerebras endpoint. While debugging, highlight a batch ID in your code and ask the agent to "get the status of this job." It will use `get_batch` to fetch the live status, so you can debug polling logic without leaving the editor. This MCP Server makes testing inference workflows much faster.

Query Model Specs and Metrics

Build apps that know about the models they're using. Ask your Cursor agent to "get the details for model X," and it will call `get_model` and format the response as a struct or class in whatever language you're writing. You can even build simple admin tools right in the editor. Ask the agent to "write a script that lists all active batch jobs," and it will use `list_batches` to get the data and generate the code to display it. This is about building with live service data inside your IDE.

Setup guide

Set up Cerebras Inference MCP in Cursor

Prerequisites

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

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Cerebras Inference MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Cerebras Inference transactions." If the MCP tools are loaded correctly, Cursor will call the Cerebras Inference tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "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 Cursor

You add the server to your `mcp.json` file. In Cursor's chat, you can then command the agent to use the Cerebras tools. It calls the API and uses the live data to write or modify your code.

Yes. Tell the agent, "write a function to list all batch jobs." It will use the `list_batches` tool and generate the necessary code, including the API call and response handling.

Use `create_completion` for direct code snippets or text. For more complex logic, use `create_chat_completion` in a conversation with the agent to refine the task before it writes the final code.

Ask your agent to "list the available models." It will call `list_models` and show you the options in the chat. You can then tell it which model to use for your next `create_completion` call.

No. Your source code stays on your machine. Only the specific data you tell the agent to use, like a prompt string or a file for an `upload_file` command, is sent. Any data sent, like `JSONL` files, is processed in Vinkius's secure, single-tenant sandboxes.

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