Lambda Labs (GPU Cloud) MCP Server

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