Recomendar GPU por contexto

Recomenda top GPUs dado contexto: resolução (1080p/1440p/4k), uso (gaming-aaa/gaming-competitive/produtividade) e orçamento em BRL.

liveunknown~5s typical

mcpentyrax

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-entyrax-entyrax /recommend_gpu_by_context for me.

Input

Field	Type	Description
resolution*	string (1080p \| 1440p \| 4k)	Resolução alvo do monitor
use_case*	string (gaming-aaa \| gaming-competitive \| produtividade)	Uso principal da máquina
budget_brl*	number	Orçamento máximo em BRL (ex: 3500)

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-entyrax-entyrax","endpoint":"/recommend_gpu_by_context","input":{"resolution":"1080p","use_case":"gaming-aaa","budget_brl":1}}'

cli

npx cracked-ai run -p mcp-com-entyrax-entyrax -e /recommend_gpu_by_context -i '{"resolution":"1080p","use_case":"gaming-aaa","budget_brl":1}'

mcp

run_tool({ provider: "mcp-com-entyrax-entyrax", endpoint: "/recommend_gpu_by_context", input: {"resolution":"1080p","use_case":"gaming-aaa","budget_brl":1} })

Try it

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