Connect-MCP

io.github.f-tiger/agiscorecard-web3-incentives

io.github.f-tiger/agiscorecard-web3-incentives · v1.7.0

Model contributor rewards with declared quality weights and caps; separate revenue from subsidies.

MCPremoteno credentialsCryptoCRM & sales

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 3 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 81/100

What it does: 3 tools · 3 read, 0 write · Crypto, CRM & sales

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +3
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://incentives.agiscorecard.com/mcp

Tools

3 tools listed at last check
  • 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.
  • model_contributor_rewards Incentive 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

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Markdown for your README
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Repository · Website