Lambda Labs (GPU Cloud) MCP Connector for Claude
A+Manage AI infrastructure via Lambda Labs — launch GPU instances, monitor ML workloads, and manage SSH keys.
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
- Subscribe to this server
- Enter your Lambda Labs API Key
- 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
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