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io.github.f-tiger/agiscorecard-web3-incentives
io.github.f-tiger/agiscorecard-web3-incentives · v1.7.0
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | resources, tools |
| Tool definitions | 3 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Model contributor rewards with declared quality weights and caps; separate revenue from subsidies.
Connect
streamable-http · https://incentives.agiscorecard.com/mcp
claude mcp add --transport http agiscorecard-web3-incentives https://incentives.agiscorecard.com/mcp{
"mcpServers": {
"agiscorecard-web3-incentives": {
"url": "https://incentives.agiscorecard.com/mcp"
}
}
}Tools as reported by the server
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.model_contributor_rewardsIncentive Lab separates customer revenue from token subsidy, then allocates a declared reward budget using accepted work and quality weights. Contributor caps and exact budget conservation keep the scenario inspectable. The worksheet does not establish Sybil resistance or distribute tokens. No live
Repository · Website · JSON · Text for agents · Registry updated 2026-10-10