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Connect Lambda Labs GPU Cloud 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 and manage high-performance GPU clusters through conversation.

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 · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Lambda Labs.

  1. 01

    Launch instance

    This capability provisions a new Lambda GPU virtual machine. You can specify hardware like H100 or A100 and automatically inject SSH keys for immediate access.

  2. 02

    List ssh keys

    This capability lists all your globally managed SSH public keys in Lambda. Use it to verify which keys are available for provisioning new instances.

  3. 03

    List instances

    This capability shows all your currently running GPU instances on Lambda Cloud. It's the quickest way to audit your active compute footprint.

  4. 04

    Get instance

    This capability retrieves specific details for a single instance. It provides the exact hardware specs and the SSH connection string you need to log in.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Lambda Labs.

  1. 05

    Terminate instances

    This capability permanently destroys specified GPU instances. It stops all billing immediately, but note that any attached ephemeral drives are also deleted.

  2. 06

    List instance types

    This capability exposes the full catalog of GPU node types and pricing. Use it to find available hardware and specific regional availability.

  3. 07

    List filesystems

    This capability maps your persistent shared NAS volumes. It helps your agent identify available storage in the Lambda ecosystem for multi-node workloads.

Real work

What teams actually run

01

Rapid Model Training

Launch a high-end GPU instance and get the SSH string in one conversation to start your training script.

02

Resource Monitoring

Ask your agent for a status report on all running instances to ensure your budget is being used efficiently.

03

Scaling Compute

Check regional availability and pricing to decide where to deploy your next cluster of worker nodes.

04

Automated Cleanup

Tell your agent to shut down specific instances once a job is done to prevent unnecessary costs.

Automate a task

Put Lambda Labs 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

Lambda Labs 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 Lambda Labs 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

881ms average. Fast in production.

Lambda Labs is checked daily against the live service.

Daily averagePeak 1027ms
Oct 12Today
Fastest day
662ms
Slowest day
1027ms
14-day trend
Slowing+55%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 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 Lambda Labs, so you can see the experience inside your AI.

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

Lambda Labs Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_GornvRH1C8hhZ2KJ4gLtkhB2ck8RuwNlliqUvB8m/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 — Lambda Labs capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "lambda-labs-gpu-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GornvRH1C8hhZ2KJ4gLtkhB2ck8RuwNlliqUvB8m/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 Lambda Labs in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Lambda Labs owners hand off.

This MCP is built for engineers who need to manage heavy GPU workloads without staying glued to a web console.

  • 01

    Machine Learning Engineers

    They use the agent to spin up H100 or A100 boxes for training and fine-tuning models.

  • 02

    Data Scientists

    They use it to monitor active instances and grab Jupyter Lab tokens for experimentation.

  • 03

    AI Infrastructure Ops

    They use it to manage SSH keys and shared filesystems across large worker clusters.

FAQ

Questions Lambda Labs owners ask.

  • 01

    How do I connect this MCP to my AI client?

    You subscribe to the MCP on Vinkius and enter your Lambda Labs API Key. Once connected, you can use it immediately in any MCP-compatible client like Claude or Cursor.

  • 02

    Can I launch specific GPU types like H100s?

    Yes. You can instruct your agent to launch specific GPU virtual machines, including H100 and A100 models.

  • 03

    Will terminating an instance delete my data?

    Terminating an instance will destroy any ephemeral drives attached to it. You should ensure your data is on a persistent NAS volume if you need it to survive termination.

  • 04

    How do I get SSH access to my new instances?

    When you launch an instance, the MCP can inject your SSH keys so the machine is ready for port 22 access immediately. You can also ask your agent for the specific SSH connection string.

  • 05

    Is this MCP secure?

    Yes. Vinkius manages your credentials, and the MCP allows for zero-trust infrastructure provisioning by managing your existing SSH keys.

  • 06

    Can I launch a high-performance H100 instance through my agent?

    Yes. Use the launch_instance capability and specify the type (e.g. gpu_1x_h100) and region. Your agent will also allow you to attach registered SSH keys so the instance is securely accessible immediately upon boot.

  • 07

    How do I retrieve the Jupyter Lab access token for a running node?

    Use the get_instance capability with your Instance ID. Your agent will fetch the complete telemetry, including the public IP and the Jupyter Lab access token if the environment is configured to provide it.

  • 08

    Can my agent check for GPU availability across different regions?

    Absolutely. The list_instance_types capability queries the cloud boundary for hardware inventory. Your agent will report which GPU node types are currently available and in which physical regions they are hosted.

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