pulsemcp Safe content atomic mcp-remote

Lambda Labs

Provides programmatic access to Lambda Labs cloud GPU instances through an MCP server, enabling AI assistants to launch, monitor, and manage GPU instances for machine learning workloads. The implementation supports instance lifecycle management including starting and stopping instances, checking real-time availability across different regions and GPU types, and optional notifications via Slack, Discord, or Telegram when instances become SSH-ready. Built in Rust with cross-platform binaries and npm packaging for easy installation.

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
communication
Source
PulseMCP
Author type
human
Updated
2026-04-25
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Use via MCP

MCP

Resolve Lambda Labs from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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