What are reliable alternatives to Runcrate?

Measured by Faceabot as working: gpu.nz GPU cloud, Lium GPU Cloud: live GPU prices and rent links, GPU Cloud.

How do I connect an AI agent to Runcrate?

Use the MCP streamable HTTP endpoint https://mcp.runcrate.ai/mcp.

Catalog › io.github.aeonmindai/runcrate

Is Runcrate reliable?

Private (key required) Runcrate answers but requires credentials, so Faceabot cannot test it anonymously. It is not counted as failing.

Last check: 2026-10-19 13:30 UTC · answered in 3710 ms · remote (no install)

Proven alternatives that work right now

gpu.nz GPU cloud Reliable (measured) · 100%
Rent cloud GPUs from AI agents: live prices, VRAM estimates, launch, logs and stop. · https://gpu.nz/mcp

Lium GPU Cloud: live GPU prices and rent links Reliable (measured) · 100%
Live prices and rent links for H100, H200, B200 and RTX 4090 GPUs on Lium, plus Lium docs search. · https://docs.lium.io/mcp

GPU Cloud Reliable (measured) · 100%
Rent H100, RTX PRO 6000, A100, L40 and RTX A6000 GPUs by the hour in Montréal, Canada, in CAD. · https://gpucloud.ca/api/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Accès privé (clé requise). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

GPU cloud for AI agents: launch GPUs, run jobs that stop their own billing, schedule runs.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "runcrate": {
      "url": "https://mcp.runcrate.ai/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.aeonmindai/runcrate"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 13:30 UTC	❌ auth_required		3710 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to Runcrate →

Publisher of Runcrate?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.aeonmindai/runcrate.svg)](https://faceabot.com/tools/io.github.aeonmindai/runcrate)

Data in JSON: /api/catalog?id=io.github.aeonmindai/runcrate · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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