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How to Use the Cerebras Inference MCP in Claude Code

Pipe fast wafer-scale completions into your terminal pipelines by linking Claude Code to Cerebras Inference.

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Claude Code

Connect Cerebras Inference MCP to Claude Code

Create your Vinkius account to connect Cerebras Inference to Claude Code 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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Automate batch jobs with this MCP Server

The `create_batch` tool lets you run massive asynchronous jobs directly from your CLI session. Claude Code uploads your JSONL datasets with `upload_file` and starts the batch run. You can pipe the status check from `get_batch` into other shell scripts. Once finished, Claude Code downloads the raw output using `get_file_content` to feed your local data pipelines.

Query available models directly from the CLI

The `list_models` tool fetches the active models list directly inside your terminal session. Claude Code uses this to verify which endpoints are online before running heavy automation scripts. If you need to check details for a specific model, Claude Code runs `get_model` to verify context window limits. This ensures your shell commands never fail due to model mismatches.

Monitor Cerebras Inference throughput via CLI

The `get_metrics` tool pulls live Prometheus-formatted performance metrics into your terminal. Claude Code reads this data to show you real-time token speeds and queue wait times. This is perfect for DevOps engineers who need to monitor API health during automated cron jobs. You can easily log these metrics to a local file for later analysis.

Setup guide

Set up Cerebras Inference MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see cerebras-inference-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest Cerebras Inference transactions." It will automatically discover and invoke the available Cerebras Inference tools.

Terminal
claude mcp add --transport http cerebras-inference-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Why Choose Vinkius

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Common questions about Cerebras Inference MCP in Claude Code

Yes. You can trigger batch runs, upload JSONL datasets, and track progress using simple terminal commands. Claude Code handles the API polling autonomously.
Run `claude mcp add --transport http cerebras-inference-mcp -- ` in your terminal. This adds the server to your local MCP configuration file instantly.
It connects your terminal agent to ultra-fast hardware that generates completions in milliseconds. This allows complex shell scripts and multi-step terminal tasks to execute without waiting on slow API responses.
Yes. You can tell Claude Code to stop the job, and it will execute the cancel tool to terminate the run on the remote cluster immediately.
Your API keys and chat payloads are transmitted directly to the Cerebras API endpoints over TLS. Vinkius hosts the server in a secure, ephemeral sandbox that never caches or logs your credentials.

Start using the Cerebras Inference MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 15 tools

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