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AI · January 14, 2026

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

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…

A fast CLI and MCP server for managing Lambda cloud GPU instances launched on January 14, 2026 with 24 votes, #679 of 14,585 launches that month and more than 90% of that year's launches.

Visit github.com ↗Alternativestop 5% of January 2026

In plain words

This is an unofficial CLI tool and MCP server for managing Lambda cloud GPU instances. It lets AI agents and users provision, launch, and terminate GPU instances through a command-line interface or by integrating with Claude Code, Cursor, or other AI tools. The tool sends notifications via Slack, Discord, or Telegram when instances are ready, supports 1Password for API key management, and runs on Rust under an MIT license. It functions as both a standalone CLI and an MCP server for agent integration.

written from the facts on this page · September 2026

From the sources

Unofficial CLI and MCP server for Lambda cloud GPU instances - Strand-AI/lambda-cli

UNOFFICIAL PROJECT — This is a community-built tool, not affiliated with or endorsed by Lambda. A fast CLI and MCP server for managing Lambda cloud GPU instances. brew install strand-ai/tap/lambda-cli From Source cargo install --git https://github.com/Strand-AI/lambda-cli Pre-built Binaries Download from GitHub Releasesfrom github.com

In the maker’s words, at launch

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…

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