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Create and evaluate versioned decision models with reproducible results and declared assumptions.
Genius Decision 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 78/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 Genius Decision 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
mcp add io.github.pedrosalvadeo/genius-decision https://geniusdecision.app/mcp运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-14T10:32:10.364371Z",
"publishedAt": "2026-10-14T10:32:10.364371Z",
"statusChangedAt": "2026-10-14T10:32:10.364371Z"
}
},
"server": {
"name": "io.github.pedrosalvadeo/genius-decision",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"setupUrl": "https://geniusdecision.app/agents",
"capsuleUrl": "https://github.com/pedrosalvadeo/genius-decision-open/tree/main/capsule",
"dataPolicy": "synthetic_or_non_personal_only",
"limitations": "Evaluations consume shared quota. Results are conditional on declared models and do not establish empirical validity. Registration default scopes do not include twin tools.",
"manifestUrl": "https://geniusdecision.app/agents/manifest.json",
"registration": {
"url": "https://geniusdecision.app/api/agents/register",
"method": "POST",
"twinScopes": [
"twins:read",
"twins:write",
"twins:evaluate"
],
"cleanupScopes": [
"twins:delete",
"account:delete"
]
},
"oauthAvailable": false
}
},
"title": "Genius Decision",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://geniusdecision.app/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"format": "string",
"isSecret": true,
"description": "Optional for public discovery. Private tools require Bearer followed by a scoped agent token; obtain it through https://geniusdecision.app/agents."
}
]
}
],
"version": "0.2.0",
"repository": {
"url": "https://github.com/pedrosalvadeo/genius-decision-open",
"source": "github"
},
"websiteUrl": "https://geniusdecision.app/agents",
"description": "Create and evaluate versioned decision models with reproducible results and declared assumptions."
}
}