GPU and LLM inference benchmarks, hardware evidence, deployment recommendations, and launch configs.
Connect Remote server
claude mcp add --transport http stackbench https://mcp.computesage.com/mcp
{
"mcpServers": {
"stackbench": {
"url": "https://mcp.computesage.com/mcp"
}
}
}
{
"servers": {
"stackbench": {
"type": "http",
"url": "https://mcp.computesage.com/mcp"
}
}
}
Settings > Connectors > Add custom connector
URL: https://mcp.computesage.com/mcp
Tools 5 found in our last check
search_evidence$0.00 free search of bounded public StackBench benchmark and failure evidence; use this for evidence-only requests.
check_deployment_fit$0.01 USDC on Base mainnet: check model/configuration fit against bounded StackBench capacity evidence.
predict_performance$0.05 USDC: predict configuration throughput, memory, and power from bounded StackBench evidence with confidence, missing metrics, and caveats.
recommend_deployment$0.25 USDC: recommend what to buy or run from bounded StackBench fit, performance, confidence, evidence, caveats, and economics only when supported.
generate_launch_config$0.50 USDC: generate deterministic vLLM or llama.cpp launch templates from an exact StackBench recommendation without claiming a launch occurred.
Details
| Endpoint | https://mcp.computesage.com/mcp (Streamable HTTP) |
| First published | 29 Aug 2026 |
| Last updated | 29 Aug 2026 |
| Registry name | com.computesage/stackbench |
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