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Connect Cerebras Inference to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run high-speed AI inference at unprecedented speeds.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 15 capabilities

We ship only the actions that matter.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 15 available through Cerebras Inference.

  1. 01

    Create completion

    This capability generates text continuations from a single prompt string.

  2. 02

    Delete file

    Use this to remove a specific file from your storage.

  3. 03

    Get batch

    This capability retrieves the current status of a specific batch job.

  4. 04

    Get file

    Retrieve metadata for a specific file you have uploaded.

Capability set02 / 04

05-08

4 capabilities in this set.

Part of 15 available through Cerebras Inference.

  1. 05

    Get metrics

    Get Prometheus-formatted operational metrics to monitor performance.

  2. 06

    Get model

    This capability fetches specific details for a chosen model.

  3. 07

    List batches

    Use this to see a list of all your active and past batch jobs.

  4. 08

    Create chat completion

    This capability generates conversational responses using a structured message format.

Capability set03 / 04

09-12

4 capabilities in this set.

Part of 15 available through Cerebras Inference.

  1. 09

    Create batch

    Use this to start an asynchronous batch job for large workloads.

  2. 10

    Get file content

    This capability downloads the raw content of a specific file.

  3. 11

    List files

    This capability shows you all the files you have uploaded.

  4. 12

    List models

    Get a full list of all models currently available for use.

Capability set04 / 04

13-15

3 capabilities in this set.

Part of 15 available through Cerebras Inference.

  1. 13

    List public models

    Retrieve details about available models without needing an API key.

  2. 14

    Cancel batch

    This capability stops a running batch job immediately.

  3. 15

    Upload file

    This capability uploads a JSONL file to be used for batch processing.

Real work

What teams actually run

01

Real-time Chatbots

Build conversational agents that respond instantly to user input.

02

Massive Data Labeling

Run batch inference on huge datasets to label or categorize information.

03

Rapid Prototyping

Test model logic with immediate feedback during the development cycle.

04

Production LLM Integration

Deploy high-speed models into apps where low latency is a requirement.

Automate a task

Put Cerebras Inference to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Cerebras Inference works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Cerebras Inference to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

919ms average. Fast in production.

Cerebras Inference is checked daily against the live service.

Daily averagePeak 1282ms
Oct 3Today
Fastest day
779ms
Slowest day
1282ms
14-day trend
Slowing+46%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 15 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Cerebras Inference, so you can see the experience inside your AI.

It does not authenticate your account with Cerebras Inference. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Cerebras Inference Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_xAZFRBg8VLAlPUucEoLSiFDXRg3Jdk9xiofskaFP/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Cerebras Inference capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cerebras-inference-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xAZFRBg8VLAlPUucEoLSiFDXRg3Jdk9xiofskaFP/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Cerebras Inference in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Cerebras Inference owners hand off.

This MCP is built for technical users who need to eliminate latency in AI workflows.

  • 01

    AI Developers

    They use this to build and test apps with near-instant model responses.

  • 02

    Data Scientists

    They run large-scale batch inference on massive datasets.

  • 03

    Product Teams

    They integrate high-performance models into production environments where speed is critical.

FAQ

Questions Cerebras Inference owners ask.

  • 01

    How fast is the inference?

    The inference uses the Cerebras Wafer-Scale Engine to provide some of the fastest token generation speeds available.

  • 02

    Which AI clients can I use with this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Can I run large datasets through this?

    Yes, you can use the batch processing capabilities to handle large-scale workloads asynchronously.

  • 04

    Do I need to manage my own infrastructure?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use once you connect your API key.

  • 05

    What file types are supported for batch jobs?

    The MCP supports uploading JSONL files for use in batch processing tasks.

  • 06

    How do I check which models are available for inference?

    Use the list_models capability. 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.

  • 07

    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.

  • 08

    Does this server support capability calling and structured outputs?

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

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