1. Conduid
  2. Social
  3. Lambda CLI
MCP server · Social

Lambda CLI

· github.com/Strand-AI/lambda-cli

Unofficial CLI and MCP server for Lambda cloud GPU instances

Unclaimed social
InstallView source
39Low

Scored 6 months ago · breakdown

About Lambda CLI

Lambda CLI is an MCP server in the Social category: unofficial CLI and MCP server for Lambda cloud GPU instances.

Install

From source
git clone https://github.com/Strand-AI/lambda-cli

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

check_availabilityCheck if a specific GPU type is available

Parameters not published.

list_gpu_typesList all available GPU instance types with pricing, specs, and current availability

Parameters not published.

list_running_instancesShow all running instances with status and connection details

Parameters not published.

start_instanceLaunch a new GPU instance (auto-notifies if configured)

Parameters not published.

stop_instanceTerminate a running instance

Parameters not published.

Ask AI

✦

Ask AI about Lambda CLI

Powered by Claude · Grounded in docs

I know everything about Lambda CLI. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

Lambda CLI

[!CAUTION] UNOFFICIAL PROJECT — This is a community-built tool, not affiliated with or endorsed by Lambda.

CI npm MCP Install in VS Code Install in Cursor

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

Two ways to use it:

  • CLI (lambda) - Direct terminal commands for managing GPU instances
  • MCP Server (lambda-mcp) - Let AI assistants like Claude manage your GPU infrastructure

Installation

Homebrew (macOS/Linux)

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 Releases.

Authentication

Get your API key from the Lambda dashboard.

Option 1: Environment Variable

export LAMBDA_API_KEY=<your-key>

Option 2: Command (1Password, etc.)

export LAMBDA_API_KEY_COMMAND="op read op://Personal/Lambda/api-key"

The command is executed at startup and its output is used as the API key. This works with any secret manager.

Notifications (Optional)

Get notified on Slack, Discord, or Telegram when your instance is ready and SSH-able.

Configuration

Set one or more of these environment variables:

# Slack (incoming webhook)
export LAMBDA_NOTIFY_SLACK_WEBHOOK="https://hooks.slack.com/services/T00/B00/XXX"

# Discord (webhook URL)
export LAMBDA_NOTIFY_DISCORD_WEBHOOK="https://discord.com/api/webhooks/123/abc"

# Telegram (bot token + chat ID)
export LAMBDA_NOTIFY_TELEGRAM_BOT_TOKEN="123456:ABC-DEF..."
export LAMBDA_NOTIFY_TELEGRAM_CHAT_ID="123456789"

Setup Guides

Slack: Create an Incoming Webhook in your workspace.

Discord: In channel settings → Integrations → Webhooks → New Webhook → Copy Webhook URL.

Telegram:

  1. Message @BotFather → /newbot → copy the token
  2. Message your bot, then visit https://api.telegram.org/bot<TOKEN>/getUpdates to find your chat ID

CLI Usage

Commands

Command Description
lambda list Show available GPU types with pricing and availability
lambda running Show your running instances
lambda start Launch a new instance
lambda stop Terminate an instance
lambda find Poll until a GPU type is available, then launch

Examples

List available GPUs:

lambda list

Start an instance:

lambda start --gpu gpu_1x_a10 --ssh my-key --name "dev-box"

Stop an instance:

lambda stop --instance-id <id>

Wait for availability and auto-launch:

lambda find --gpu gpu_8x_h100 --ssh my-key --interval 30

CLI Options

start

Flag Description
-g, --gpu Instance type (required)
-s, --ssh SSH key name (required)
-n, --name Instance name
-r, --region Region (auto-selects if omitted)
-f, --filesystem Filesystem to attach (must be in same region)
--no-notify Disable notifications even if env vars are set

find

Flag Description
-g, --gpu Instance type to wait for (required)
-s, --ssh SSH key name (required)
--interval Poll interval in seconds (default: 10)
-n, --name Instance name when launched
-f, --filesystem Filesystem to attach when launched
--no-notify Disable notifications even if env vars are set

Notifications are automatic when env vars are configured. Use --no-notify to disable:

lambda start --gpu gpu_1x_a10 --ssh my-key --no-notify

MCP Server

The lambda-mcp binary is an MCP (Model Context Protocol) server that lets AI assistants manage your Lambda infrastructure.

Quick Start with npx

The easiest way to use lambda-mcp is via npx—no installation required:

npx @strand-ai/lambda-mcp

Options

Flag Description
--eager Execute API key command at startup instead of on first use

API Key Loading

When using LAMBDA_API_KEY_COMMAND, the MCP server defers command execution until the first API request by default. This avoids unnecessary delays when starting Claude Code if you don't use Lambda tools in every session.

Use --eager to execute the command at startup instead:

npx @strand-ai/lambda-mcp --eager

Note: The CLI (lambda) always executes the API key command at startup since it's used for immediate operations.

Available Tools

Tool Description
list_gpu_types List all available GPU instance types with pricing, specs, and current availability
start_instance Launch a new GPU instance (auto-notifies if configured)
stop_instance Terminate a running instance
list_running_instances Show all running instances with status and connection details
check_availability Check if a specific GPU type is available

Auto-Notifications

When notification environment variables are configured, the MCP server automatically sends notifications when instances become SSH-able. No additional flags needed—just set the LAMBDA_NOTIFY_* env vars and launch instances as usual.

Claude Code Setup

claude mcp add lambda -s user -e LAMBDA_API_KEY=your-api-key -- npx -y @strand-ai/lambda-mcp

With 1Password CLI:

claude mcp add lambda -s user -e LAMBDA_API_KEY_COMMAND="op read op://Personal/Lambda/api-key" -- npx -y @strand-ai/lambda-mcp

Then restart Claude Code.

Example Prompts

Once configured, you can ask Claude things like:

  • "What GPUs are currently available on Lambda?"
  • "Launch an H100 instance with my ssh key 'macbook'"
  • "Show me my running instances"
  • "Check if any A100s are available"
  • "Terminate instance i-abc123"

Development

# Build
cargo build

# Run tests
cargo test

# Run CLI
cargo run --bin lambda -- list

# Run MCP server
cargo run --bin lambda-mcp

Releasing

To create a release:

  1. Update the version in Cargo.toml
  2. Merge to main — this automatically:
    • Creates a git tag
    • Builds binaries for all platforms
    • Publishes to npm
    • Updates the Homebrew formula

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Lambda CLI

How do I install Lambda CLI?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Lambda CLI safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Lambda CLI still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.