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Xcelsior Agent Skill

Teach any AI agent (Claude, Cursor, Codex, …) to drive Xcelsior GPU compute through the official TypeScript SDK — no MCP client required.

Install

npx skills add xcelsior-gpu/skill

Then set your access token (from https://xcelsior.ca/dashboard/mcp):

export XCELSIOR_ACCESS_TOKEN="xcel_ai_..."

The agent installs @xcelsior-gpu/sdk and can then list GPUs, check spot pricing, estimate cost, launch and monitor instances, and check your wallet balance — all in natural language.

Why the SDK rather than raw HTTP

The SDK is typed, exposes real error classes (XcelsiorApiError, XcelsiorApiTimeoutError), and is generated from the same OpenAPI spec that backs the public API — so an agent using it cannot drift from the wire format the way hand-written requests do.

Prefer MCP?

Xcelsior also ships a hosted MCP server at https://xcelsior.ca/mcp. See the dashboard's Connect page for a one-paste setup with your token embedded.

Full API reference: https://docs.xcelsior.ca

About

Agent Skill for Xcelsior GPU compute — teach any AI agent to rent, launch and monitor GPUs via the official TypeScript SDK. Install with: npx skills add xcelsior-gpu/skill

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