Signal Desk by LarryBuildsAI

One-to-three-cent spend routing, lead research, token-risk, and agent-tool comparison preflights.

这个条目提供什么？

Signal Desk by LarryBuildsAI 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 67/100。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 Signal Desk by LarryBuildsAI 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。

事实快照

来源: Official MCP Registry
质量: 67/100
安装方式: streamable-http
仓库: LarryLemonBot/signal-desk-mcp-server
仓库更新: 2026年7月14日

安装命令

mcp add io.github.LarryLemonBot/signal-desk https://proofbeforepay.vercel.app/revenue/mcp

安装方式: streamable-http

运行此命令前，请先核对上游源码。

GitHub 项目主页

质量

仓库 Stars

仓库更新

2026年7月14日

质量分如何计算？

由六个维度加权得出，满分 100。
来源可信度（25）：是否收录于官方或精选 registry。
可安装性（25）：可直接运行的命令 > 已声明传输方式 > 仅源码。
维护活跃度（20）：最近推送时间；已归档条目此项为 0。
采用度（20）：仓库 star 数，按对数曲线计分。
文档完整性（10）与描述质量（10）：是否有已解析的 manifest 或 SKILL.md frontmatter，以及是否为真实描述而非占位文本。
某个来源结构上无法提供的维度（registry 不提供 star 和许可证）不计入该条目的平均分，而不是记为 0 分，因此不同来源的条目仍可横向比较。

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-07-14T23:20:51.603338Z",
      "publishedAt": "2026-07-14T23:20:51.603338Z",
      "statusChangedAt": "2026-07-14T23:20:51.603338Z"
    }
  },
  "server": {
    "name": "io.github.LarryLemonBot/signal-desk",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "homepage": "https://proofbeforepay.vercel.app/revenue",
        "serverCard": "https://proofbeforepay.vercel.app/.well-known/signal-desk-server-card.json",
        "productCard": "https://proofbeforepay.vercel.app/revenue/product-card.md",
        "productName": "Signal Desk",
        "searchTerms": [
          "Signal Desk",
          "agent spend routing",
          "agent cost router",
          "public lead research",
          "DeFi token risk snapshot",
          "agent tool comparison",
          "x402 buyer intelligence",
          "paid tool preflight"
        ],
        "claimBoundary": "Signal Desk returns planning and public-data intelligence only. It does not execute model calls, send outreach, buy or sell tokens, provide financial advice, or prove downstream revenue.",
        "payanAgentOffers": [
          {
            "url": "https://payanagent.com/marketplace/offers/kh732rk76r7nv67q1h5223kc9x8agkfx",
            "name": "Agent Spend Route Quote",
            "priceUsd": "0.03"
          },
          {
            "url": "https://payanagent.com/marketplace/offers/kh7b6yxnq209169aq8wavbqzh98ag9gv",
            "name": "Public Website Lead Brief",
            "priceUsd": "0.03"
          },
          {
            "url": "https://payanagent.com/marketplace/offers/kh7eqsawc4t694gf1pxqn5shwn8ah5sw",
            "name": "DeFi Token Risk Snapshot",
            "priceUsd": "0.01"
          },
          {
            "url": "https://payanagent.com/marketplace/offers/kh79rcw8zvdhssthrvbwa32rtd8ahzww",
            "name": "Agent Tool Market Comparison",
            "priceUsd": "0.03"
          }
        ],
        "payanAgentSeller": "https://payanagent.com/marketplace/agents/j57aj29bb7gy71r705s23qkd898ah01c"
      }
    },
    "title": "Signal Desk by LarryBuildsAI",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://proofbeforepay.vercel.app/revenue/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "0.1.3",
    "repository": {
      "url": "https://github.com/LarryLemonBot/signal-desk-mcp-server",
      "source": "github"
    },
    "websiteUrl": "https://proofbeforepay.vercel.app/revenue",
    "description": "One-to-three-cent spend routing, lead research, token-risk, and agent-tool comparison preflights."
  }
}

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