XC

Xcelsior Compute MCP

Find GPUs by price and availability, launch and manage instances and volumes, run serverless inference and training jobs, and check your Xcelsior wallet from any MCP client.

Grade A Remote or local · Streamable HTTP · stdio OAuth 2.1 86 tools v0.1.1 · 5 Nov 2026 MIT
No reviews yet by aabironpm 522 Runs on your machine or at its publisher’s address — not through us
91/100
trust score
17
downloads a day
local
or remote
522
downloads in 30d

What it does

Connects your AI agent to the Xcelsior GPU marketplace.

  • Find capacity: search available GPUs and spot prices, estimate what a job will cost, and preview where an instance would be placed.
  • Run work: create, watch, snapshot and terminate instances; run training jobs and pipelines; deploy serverless endpoints and send them jobs.
  • Storage and access: create, attach and snapshot volumes; manage SSH keys and open access to instances.
  • Billing: check your wallet balance and history, invoices, payment methods and funding options.
  • Providers: see your provider account and earnings.

86 tools, each marked read-only or write. Run it locally with npx -y @xcelsior-gpu/mcp and an access token, or connect to https://mcp.xcelsior.ca/mcp and sign in with OAuth.

Quickstart

# 1 — add it to Claude Code claude mcp add --scope user --env 'XCELSIOR_ACCESS_TOKEN=${XCELSIOR_ACCESS_TOKEN}' --transport stdio xcelsior-compute-mcp '--' npx -y @xcelsior-gpu/mcp # 2 — ask your agent for something these tools do # list_available_gpus, get_spot_prices, get_pricing_reference and 83 more

It needs XCELSIOR_ACCESS_TOKEN: this reads it from your environment, so export it first.

Xcelsior Compute costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.

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AA
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