MCP server
Agiscorecard Web3 Incentives
io.github.f-tiger/agiscorecard-web3-incentives
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Model contributor rewards with declared quality weights and caps; separate revenue from subsidies.
Working at last checkAbout 1,003 tokens per request once connected3 tools
https://incentives.agiscorecard.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 1,003 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http agiscorecard-web3-incentives https://incentives.agiscorecard.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.agiscorecard-web3-incentives] url = "https://incentives.agiscorecard.com/mcp"
Gemini CLI
{"mcpServers":{"agiscorecard-web3-incentives":{"httpUrl":"https://incentives.agiscorecard.com/mcp"}}}
Cursor
{"mcpServers":{"agiscorecard-web3-incentives":{"url":"https://incentives.agiscorecard.com/mcp"}}}
VS Code
{"servers":{"agiscorecard-web3-incentives":{"type":"http","url":"https://incentives.agiscorecard.com/mcp"}}}
Antigravity
agy mcp add agiscorecard-web3-incentives https://incentives.agiscorecard.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"agiscorecard-web3-incentives","server_url":"https://incentives.agiscorecard.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"agiscorecard-web3-incentives","server_url":"https://incentives.agiscorecard.com/mcp"}
Tools
model_contributor_rewards~774 tokens
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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