Use Lambda Labs with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage AI infrastructure via Lambda Labs. launch GPU instances, monitor ML workloads, and manage SSH keys.
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.
Complete set · 7 capabilities
The complete Lambda Labs capability set.
These are the exact actions your AI can choose when you ask it to work with Lambda Labs.
01-04
4 capabilities in this set.
Part of 7 available through Lambda Labs.
- 01
List ssh keys
Enumerate globally managed SSH public keys in Lambda
- 02
List filesystems
Map persistent shared NAS volumes living in the Lambda ecosystem
- 03
Get instance
Get exact details and SSH connection string for a specific instance
- 04
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
05-07
3 capabilities in this set.
Part of 7 available through Lambda Labs.
- 05
List instances
List running GPU instances on Lambda Cloud
- 06
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
- 07
Terminate instances
Any ephemeral drives attached will be vaporized immediately without backup. Extremely destructive; stops billing instantly. Permanently terminate and destroy Lambda GPU instances
Observed, not estimated
856ms average. Fast in production.
Lambda Labs is checked daily against the live service.
- Fastest day
- 662ms
- Slowest day
- 1205ms
- 14-day trend
- Slowing+25%
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.
https://edge.vinkius.com/vk_preview_GornvRH1C8hhZ2KJ4gLtkhB2ck8RuwNlliqUvB8m/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Lambda Labs capabilities are ready to use.
{
"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
FAQ
Questions Lambda Labs owners ask.
- 01
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.
- 02
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.
- 03
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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