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A fast CLI and MCP server for managing Lambda cloud GPU instances

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I built an unofficial CLI and MCP server for Lambda cloud GPU instances.The main idea: your AI agents can now spin up and manage Lambda GPUs for you.The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed.Note: This is an unofficial community project, not affiliated with Lambda.

HN · launched Jan 14, 2026 · 24 upvotes (top 32%) · 0 views

Niche: gpu infrastructure and developer tools · 129 launches, 7 in the last 7 days ▼ -30% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI feature
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes This is a lightweight CLI and Model Context Protocol (MCP) server that simply wraps Lambda Cloud's existing REST API endpoints into standard MCP tools.

Discussion

2 comments analyzed.

Competitors

Other products that read as similar to this one : 526 launches clear the similarity bar, closest 8 shown.

Attention rank: #192 of 527 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 77 days after the earliest competitor.

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