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agiscorecard-web3-compute

by FastDrop

MCP Verified 3 hours ago Registry import free

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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Tools this endpoint exposes

Read directly from the endpoint on 10 Oct 2026. Not supplied by the maker.

  • search

    Search this server’s public AI/Web3 tools and citation pages. English and Chinese names supported. Empty query lists the available worksheets.

  • fetch

    Retrieve 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_costs

    Compute 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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Matched on shared tags and the tools their MCP servers actually expose.

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