MCP For Claude Marketplace
Lambda Labs (GPU Cloud)

Lambda Labs (GPU Cloud) MCP Connector for Claude

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Manage AI infrastructure via Lambda Labs — launch GPU instances, monitor ML workloads, and manage SSH keys.

7 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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Connect your Lambda Labs account to any AI agent and take full control of your AI infrastructure and high-performance GPU orchestration through natural conversation.

What you can do

  • Instance Orchestration — Launch state-of-the-art GPU virtual machines (e.g., H100, A100) and manage their entire lifecycle directly from your agent
  • ML Infrastructure Audit — List running instances and retrieve detailed hardware specifications, public IPv4 addresses, and Jupyter Lab access tokens securely
  • Inventory & Pricing — Discover available GPU node types and pricing matrices across different regions to optimize your AI training and inference budget
  • SSH Key Management — Enumerate globally managed public keys to ensure zero-trust infrastructure provisioning and secure access over port 22
  • Storage Mapping — Discover persistent shared NAS volumes living in the Lambda ecosystem that can be mounted simultaneously across multiple worker nodes
  • Resource Cleanup — Terminate and deallocate compute nodes instantly to stop billing and maintain a clean cloud footprint

How it works

  1. Subscribe to this server
  2. Enter your Lambda Labs API Key
  3. Start managing your GPU cloud from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Machine Learning Engineers — launch powerful GPU boxes for training and fine-tuning through natural conversation without manual dashboard searching
  • Data Scientists — monitor active instances and retrieve Jupyter Lab access tokens directly from your workspace for rapid experimentation
  • AI Infrastructure Ops — manage SSH keys and shared filesystems across multiple worker nodes to maintain scalable and secure ML environments
gpu-cloudmachine-learninginfrastructure-as-codevirtual-machinesai-trainingssh-management

7 tools expose this connector's capabilities to your AI agent.

launch_instance

g., powerful H100 or A100 boxes). Injects explicit SSH keys into the runtime so it is securely accessible over port 22 immediately upon boot. Provision a new Lambda GPU virtual machine

list_ssh_keys

Enumerate globally managed SSH public keys in Lambda

list_instances

List running GPU instances on Lambda Cloud

get_instance

Get exact details and SSH connection string for a specific instance

terminate_instances

Any ephemeral drives attached will be vaporized immediately without backup. Extremely destructive; stops billing instantly. Permanently terminate and destroy Lambda GPU instances

list_instance_types

Exposes exact catalog configurations of available GPU node types, identifying exactly which regions currently hold physical availability. Discover available Lambda GPU instance specifications and pricing

list_filesystems

Map persistent shared NAS volumes living in the Lambda ecosystem

See how to talk to your AI agent using Lambda Labs (GPU Cloud).

List all my running GPU instances in Lambda Cloud

I've found 2 active instances: 1) 'training-node-01' (1x H100, Region: us-east-1, Status: active), 2) 'inference-test' (1x A100, Region: us-west-1, Status: booting). Would you like the SSH connection strings for either of these?

Launch a 1x H100 instance in us-east-1 with my 'default-key' SSH key

Launching GPU instance… I've triggered the provision of a 1x H100 box in us-east-1 with your 'default-key' attached. The Instance ID is 'inst-98765'. It should be ready for SSH access in approximately 2 minutes.

What are the available instance types and their current pricing?

I've retrieved the latest catalog. Highlights include: gpu_1x_h100 ($2.49/hr), gpu_8x_h100 ($19.92/hr), and gpu_1x_a100_pcie ($1.10/hr). Availability is currently highest in the us-east-1 and us-south-1 regions. Would you like to check for a specific hardware setup?

Yes. Use the `launch_instance` tool 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.

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