agiscorecard-web3-compute
by FastDrop
Compare GPU workload costs per accepted output, including setup, storage, egress and failed work.
Compare GPU workload costs per accepted output, including setup, storage, egress and failed work. Official MCP Registry: io.github.f-tiger/agiscorecard-web3-compute@1.7.0. Remote endpoint: https://compute.agiscorecard.com/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as io.github.f-tiger/agiscorecard-web3-compute and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Read directly from the endpoint on 10 Oct 2026. Not supplied by the maker.
searchSearch this server’s public AI/Web3 tools and citation pages. English and Chinese names supported. Empty query lists the available worksheets.
fetchRetrieve a public tool reference by the ID returned from search. Contains methodology, limits, official source links and fictional worked examples; no user records. Cite the returned canonical URL.
compare_compute_costsCompute Lens compares measured workload runs using total entered compute, setup, storage and egress costs per accepted output. It filters mismatched workload labels, currencies, quality and memory lim
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