4,000+ servers built on vurb.ts
Vinkius
Claude CodeCLI
Cerebras Inference MCP Server

Bring Llm Inference
to Claude Code

Learn how to connect Cerebras Inference to Claude Code and start using 15 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Cancel BatchCreate BatchCreate Chat CompletionCreate CompletionDelete FileGet BatchGet FileGet File ContentGet MetricsGet ModelList BatchesList FilesList ModelsList Public ModelsUpload File

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Cerebras Inference

What is the Cerebras Inference MCP Server?

Connect to the Cerebras Inference platform to leverage the world's fastest AI inference. This MCP server allows your AI agent to interact with state-of-the-art models like Llama 3.1 and others using the Cerebras Wafer-Scale Engine (WSE) for unprecedented performance.

What you can do

  • Chat & Text Completions — Generate high-speed responses using create_chat_completion and create_completion with support for streaming and tool calling.
  • Model Discovery — Explore available models and their specific details using list_models and get_model to choose the best fit for your task.
  • Batch Processing — Handle large-scale workloads asynchronously with create_batch, list_batches, and cancel_batch for efficient data processing.
  • File Management — Upload and manage JSONL files for batch jobs using upload_file and list_files directly from your agent.
  • Performance Metrics — Monitor your usage and performance metrics to optimize your inference workflows.

How it works

  1. Subscribe to this server
  2. Enter your Cerebras API Key
  3. Start generating tokens at speeds you've never seen before in Claude, Cursor, or any MCP-compatible client.

Who is this for?

  • AI Developers — build and test applications with near-instant model responses to maintain development momentum.
  • Data Scientists — run large-scale batch inference on massive datasets using the asynchronous batch API.
  • Product Teams — integrate high-performance LLMs into production environments where latency is a critical factor.

Built-in capabilities (15)

cancel_batch

Cancel a batch job

create_batch

Create a batch job for asynchronous processing

create_chat_completion

Generate conversational responses using a structured message format

create_completion

Generate text continuations from a single prompt string

delete_file

Delete a file

get_batch

Retrieve status of a batch job

get_file

Retrieve metadata for a specific file

get_file_content

Download raw content of a file

get_metrics

Retrieve Prometheus-formatted operational metrics

get_model

Fetches details for a specific model

list_batches

List all batch jobs

list_files

List uploaded files

list_models

Lists all currently available models

list_public_models

Retrieve model details without an API key

upload_file

Upload a JSONL file for Batch processing

Why Claude Code?

Claude Code registers Cerebras Inference as an MCP server in a single terminal command. Once connected, Claude Code discovers all 15 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Cerebras Inference data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using Cerebras Inference tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Cerebras Inference in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Cerebras Inference and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Cerebras Inference to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Cerebras Inference in Claude Code

The Cerebras Inference 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. All 15 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Cerebras Inference
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Cerebras Inference for Claude Code

Every tool call from Claude Code to the Cerebras Inference MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I check which models are available for inference?

Use the list_models tool. It will return a list of all supported models, including high-performance options like Llama 3.1, which you can then use in create_chat_completion.

02

Can I process thousands of requests at once?

Yes. Use upload_file to provide your JSONL data and then create_batch to start an asynchronous processing job. You can monitor progress with get_batch.

03

Does this server support tool calling and structured outputs?

Yes. The create_chat_completion tool supports tools, tool_choice, and response_format parameters, allowing the model to interact with other functions or return valid JSON.

04

How do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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