Crawler Summary

ai-notify-mcp answer-first brief

一个为支持 MCP 协议的代码编辑器设计的 AI 通知服务器,当 AI 完成回答时自动发送系统通知,提升使用体验 Ai Notify MCP $1 $1 $1 🎯 为支持 MCP 协议的 AI 代码编辑器设计的智能通知服务器,当 AI 完成回答时自动发送系统通知,提升编程体验。 📑 目录 - $1 - $1 - $1 - $1 - $1 - $1 ✨ 功能特性 🔔 跨平台通知支持 | 平台 | 通知方式 | 图标支持 | 音效支持 | |------|----------|----------|----------| | **macOS** | 系统通知中心 | ✅ | ✅ | | **Windows** | Windows 通知系统 | ✅ | ✅ | | **Linux** | libnotify | ✅ | ✅ | 🎨 高度自定义 - **智能标题**:自动显示当前项目名称 - **灵活内容**:支持自定义通知消息 - **图标定制**:支持自定义通知图标 - **音效控制**:可开启/关闭提示音 🤖 智能触发 - **自动 Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

ai-notify-mcp is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Agent DossierGitHubSafety: 89/100

ai-notify-mcp

一个为支持 MCP 协议的代码编辑器设计的 AI 通知服务器,当 AI 完成回答时自动发送系统通知,提升使用体验 Ai Notify MCP $1 $1 $1 🎯 为支持 MCP 协议的 AI 代码编辑器设计的智能通知服务器,当 AI 完成回答时自动发送系统通知,提升编程体验。 📑 目录 - $1 - $1 - $1 - $1 - $1 - $1 ✨ 功能特性 🔔 跨平台通知支持 | 平台 | 通知方式 | 图标支持 | 音效支持 | |------|----------|----------|----------| | **macOS** | 系统通知中心 | ✅ | ✅ | | **Windows** | Windows 通知系统 | ✅ | ✅ | | **Linux** | libnotify | ✅ | ✅ | 🎨 高度自定义 - **智能标题**:自动显示当前项目名称 - **灵活内容**:支持自定义通知消息 - **图标定制**:支持自定义通知图标 - **音效控制**:可开启/关闭提示音 🤖 智能触发 - **自动

MCPverified

Public facts

6

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Zhiyingzzhou

Artifacts

0

Benchmarks

0

Last release

1.0.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Setup snapshot

git clone https://github.com/zhiyingzzhou/ai-notify-mcp.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Zhiyingzzhou

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

MCP

contracthigh
Observed Feb 24, 2026Source linkProvenance

Auth modes

mcp, api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Executable Examples

bash

# Ubuntu/Debian
sudo apt-get install libnotify-bin

# CentOS/RHEL/Fedora
sudo dnf install libnotify  # 或 yum install libnotify

# Arch Linux
sudo pacman -S libnotify

# openSUSE
sudo zypper install libnotify-tools

bash

git clone https://github.com/zhiyingzzhou/ai-notify-mcp.git
cd ai-notify-mcp

bash

npm install
npm run build

json

{
  "mcpServers": {
    "ai-notify": {
      "command": "node",
      "args": ["/绝对路径/ai-notify-mcp/dist/index.js"],
      "autoRun": true
    }
  }
}

text

When responding to user requests, use the ai-notify MCP tool (auto_notify_completion) only as the final step after you have fully completed your answer. Never call this tool during thinking phases, tool calls, or before your answer is complete. The notification should only be triggered when the entire response is ready for the user.

json

{
  "notification": {
    "sound": true,
    "icon": "./assets/icon.png",
    "defaultTitle": "Cursor AI",
    "defaultMessage": "回答完成"
  }
}

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

一个为支持 MCP 协议的代码编辑器设计的 AI 通知服务器,当 AI 完成回答时自动发送系统通知,提升使用体验 Ai Notify MCP $1 $1 $1 🎯 为支持 MCP 协议的 AI 代码编辑器设计的智能通知服务器,当 AI 完成回答时自动发送系统通知,提升编程体验。 📑 目录 - $1 - $1 - $1 - $1 - $1 - $1 ✨ 功能特性 🔔 跨平台通知支持 | 平台 | 通知方式 | 图标支持 | 音效支持 | |------|----------|----------|----------| | **macOS** | 系统通知中心 | ✅ | ✅ | | **Windows** | Windows 通知系统 | ✅ | ✅ | | **Linux** | libnotify | ✅ | ✅ | 🎨 高度自定义 - **智能标题**:自动显示当前项目名称 - **灵活内容**:支持自定义通知消息 - **图标定制**:支持自定义通知图标 - **音效控制**:可开启/关闭提示音 🤖 智能触发 - **自动

Full README

Ai Notify MCP

License: MIT TypeScript Node.js

🎯 为支持 MCP 协议的 AI 代码编辑器设计的智能通知服务器,当 AI 完成回答时自动发送系统通知,提升编程体验。

ai-notify

📑 目录

✨ 功能特性

🔔 跨平台通知支持

| 平台 | 通知方式 | 图标支持 | 音效支持 | |------|----------|----------|----------| | macOS | 系统通知中心 | ✅ | ✅ | | Windows | Windows 通知系统 | ✅ | ✅ | | Linux | libnotify | ✅ | ✅ |

🎨 高度自定义

  • 智能标题:自动显示当前项目名称
  • 灵活内容:支持自定义通知消息
  • 图标定制:支持自定义通知图标
  • 音效控制:可开启/关闭提示音

🤖 智能触发

  • 自动通知:AI 回答完成时自动触发
  • 手动控制:支持程序化调用通知

📦 安装配置

系统要求

| 环境 | 要求 | |------|------| | Node.js | ≥ 14.0.0 | | npm | ≥ 6.0.0 | | Linux 额外要求 | libnotify |

Linux 用户安装 libnotify

<details> <summary>点击展开各发行版安装命令</summary>
# Ubuntu/Debian
sudo apt-get install libnotify-bin

# CentOS/RHEL/Fedora
sudo dnf install libnotify  # 或 yum install libnotify

# Arch Linux
sudo pacman -S libnotify

# openSUSE
sudo zypper install libnotify-tools
</details>

详细安装步骤

1️⃣ 克隆项目

git clone https://github.com/zhiyingzzhou/ai-notify-mcp.git
cd ai-notify-mcp

2️⃣ 安装依赖并构建

npm install
npm run build

3️⃣ 配置编辑器

编辑你的 MCP 配置文件,添加以下配置:

{
  "mcpServers": {
    "ai-notify": {
      "command": "node",
      "args": ["/绝对路径/ai-notify-mcp/dist/index.js"],
      "autoRun": true
    }
  }
}

💡 提示:请将路径替换为你的实际安装路径

4️⃣ 配置 AI 助手规则

在 Cursor Settings → Rules → User Rules 中添加:

When responding to user requests, use the ai-notify MCP tool (auto_notify_completion) only as the final step after you have fully completed your answer. Never call this tool during thinking phases, tool calls, or before your answer is complete. The notification should only be triggered when the entire response is ready for the user.

5️⃣ 开启 Auto-Run 模式

Cursor Auto-Run Settings

配置步骤:

  1. 打开 Cursor Settings → Features → Chat
  2. 勾选 Enable auto-run mode
  3. 重启 Cursor

🛠 使用说明

📋 可用工具

该 MCP 服务提供以下两个工具供 AI 调用:

🔧 show_completion_notification

功能:手动触发通知,支持自定义参数

| 参数 | 类型 | 默认值 | 说明 | |------|------|--------|------| | title | string | "AI Assistant" | 通知标题 | | message | string | "已完成回答" | 通知内容 | | sound | boolean | true | 是否播放提示音 |

🤖 auto_notify_completion

功能:自动通知工具,在 AI 回答完成后自动调用

| 参数 | 类型 | 默认值 | 说明 | |------|------|--------|------| | responseLength | number | 0 | 回答长度(用于内部统计) |

⚙️ 通知配置

你可以通过配置文件自定义通知行为:

{
  "notification": {
    "sound": true,
    "icon": "./assets/icon.png",
    "defaultTitle": "Cursor AI",
    "defaultMessage": "回答完成"
  }
}

配置选项说明:

| 配置项 | 类型 | 默认值 | 说明 | |--------|------|--------|------| | sound | boolean | true | 是否播放通知音效 | | icon | string | - | 自定义通知图标路径 | | defaultTitle | string | "AI Assistant" | 默认通知标题 | | defaultMessage | string | "已完成回答" | 默认通知消息 |

🎨 图标规格建议

| 平台 | 推荐尺寸 | 支持格式 | 备注 | |------|----------|----------|------| | macOS | 128×128px | PNG, ICNS | 支持透明背景 | | Windows | 256×256px | PNG, ICO | 建议多尺寸 ICO | | Linux | 128×128px | PNG, SVG | 推荐 SVG 矢量图 |

🔧 开发指南

开发环境

# 开发模式(热重载)
npm run dev

# 构建项目
npm run build

# 启动服务
npm start

# 类型检查
npm run type-check

项目结构

ai-notify-mcp/
├── 📁 src/
│   └── 📄 index.ts          # 主入口文件
├── 📁 dist/                 # 构建输出
├── 📁 assets/               # 资源文件
│   ├── 🖼️ icon.png          # 默认图标
│   └── 🖼️ cursor-auto-run.jpg # 配置截图
├── 📄 package.json          # 项目配置
├── 📄 tsconfig.json         # TypeScript 配置
└── 📄 README.md            # 项目文档

扩展开发

// 自定义通知处理器示例
import { NotificationHandler } from './types';

const customHandler: NotificationHandler = {
  async show(options) {
    // 你的自定义逻辑
    console.log(`显示通知: ${options.title}`);
  }
};

🔍 故障排除

🔧 常见问题

<details> <summary><strong>❌ Q: 通知没有显示怎么办?</strong></summary> <br>

🔍 检查清单:

  • ✅ 确认 Auto-Run 模式已开启
  • ✅ 检查 MCP 配置路径是否正确
  • ✅ 确认服务已成功启动
  • ✅ 检查系统通知权限设置
  • ✅ 验证 AI 助手规则是否正确配置

🛠 调试命令:

# 检查进程是否运行
ps aux | grep "ai-notify"

# 手动测试通知
node dist/index.js test

# 查看 MCP 服务状态
curl -X POST http://localhost:3000/test
</details> <details> <summary><strong>🐧 Q: Linux 下通知不工作?</strong></summary> <br>

💡 解决方案:

# 1. 安装必要依赖
sudo apt-get install libnotify-bin

# 2. 测试系统通知
notify-send "测试" "通知功能正常"

# 3. 检查 D-Bus 服务
systemctl --user status dbus

# 4. 检查通知守护进程
ps aux | grep notification

🔧 常见 Linux 发行版配置: | 发行版 | 安装命令 | 备注 | |--------|----------|------| | Ubuntu/Debian | sudo apt install libnotify-bin | 通常预装 | | CentOS/RHEL | sudo dnf install libnotify | 可能需要 EPEL 源 | | Arch Linux | sudo pacman -S libnotify | 轻量化安装 |

</details> <details> <summary><strong>🖼️ Q: 图标不显示?</strong></summary> <br>

🎨 解决步骤:

  1. 确认图标文件存在

    ls -la ./assets/icon.png
    
  2. 检查图标文件格式和尺寸

    file ./assets/icon.png
    identify ./assets/icon.png  # 需要 ImageMagick
    
  3. 使用绝对路径

    {
      "notification": {
        "icon": "/Users/username/ai-notify-mcp/assets/icon.png"
      }
    }
    
  4. 检查文件权限

    chmod 644 ./assets/icon.png
    
</details> <details> <summary><strong>⚙️ Q: MCP 服务器无法启动?</strong></summary> <br>

🔍 诊断步骤:

  1. 检查 Node.js 版本

    node --version  # 应该 ≥ 14.0.0
    
  2. 验证构建输出

    ls -la dist/
    cat dist/index.js | head -10
    
  3. 手动启动测试

    node dist/index.js --test
    
  4. 检查端口占用

    lsof -i :3000  # 默认端口
    
</details>

📊 调试模式

启用详细日志查看运行状态:

# 启用所有调试信息
DEBUG=* npm start

# 仅查看通知相关日志
DEBUG=mcp:notification npm start

# 保存日志到文件
DEBUG=mcp:notification npm start 2>&1 | tee debug.log

🆘 获得帮助

如果以上方法都无法解决问题,请:

  1. 收集系统信息

    echo "OS: $(uname -a)"
    echo "Node: $(node --version)"
    echo "npm: $(npm --version)"
    
  2. 创建详细的 Issue,包含:

    • 系统信息
    • 错误日志
    • 配置文件
    • 重现步骤

🤝 贡献指南

我们欢迎各种形式的贡献!让我们一起让这个项目变得更好 🚀

🎯 贡献方式

| 类型 | 说明 | 链接 | |------|------|------| | 🐛 Bug 报告 | 发现问题请及时反馈 | 创建 Issue | | 💡 功能建议 | 提出新功能想法 | Feature Request | | 📝 文档改进 | 完善说明文档 | 编辑 README 或添加示例 | | 🔧 代码贡献 | 提交新功能或修复 | Fork → 开发 → Pull Request |

🔄 开发流程

1️⃣ 准备环境

# Fork 并克隆项目
git clone https://github.com/your-username/ai-notify-mcp.git
cd ai-notify-mcp

# 安装依赖
npm install

2️⃣ 创建功能分支

git checkout -b feature/amazing-feature
# 或者修复分支
git checkout -b fix/issue-123

3️⃣ 开发和测试

npm run dev      # 开发模式(热重载)
npm run test     # 运行测试
npm run lint     # 代码检查
npm run build    # 构建验证

4️⃣ 提交更改

# 使用约定式提交
git commit -m "feat: add amazing feature"
git commit -m "fix: resolve notification issue"
git commit -m "docs: update installation guide"

git push origin feature/amazing-feature

5️⃣ 创建 Pull Request

📋 代码规范

| 规范 | 要求 | 工具 | |------|------|------| | 语言 | TypeScript | TSC | | 代码风格 | ESLint 规则 | ESLint + Prettier | | 提交信息 | 约定式提交 | commitlint | | 测试覆盖 | 新功能需要测试 | Jest | | 文档 | 重要变更需要文档 | Markdown |

💡 开发建议

  • 🔍 提交前:确保所有测试通过
  • 📚 文档:为复杂功能添加说明
  • 🧪 测试:编写单元测试和集成测试
  • 🎨 代码:保持代码简洁易读
  • 💬 沟通:有疑问及时在 Issue 中讨论

📄 许可证

本项目采用 MIT License 许可证。

🙏 致谢

感谢所有让这个项目成为可能的人和组织:

  • 🏛️ MCP 协议团队 - 提供优秀的协议标准
  • 🌍 开源社区 - 提供宝贵的反馈和贡献
  • 👥 所有贡献者 - 让这个项目变得更好
  • 💻 编辑器开发团队 - 支持 MCP 协议的实现

📞 支持与反馈

遇到问题或有建议?我们很乐意听到你的声音!

| 渠道 | 链接 | 适用场景 | |------|------|----------| | 🐛 GitHub Issues | 提交问题 | Bug 报告和功能请求 | | 📧 邮件联系 | [email protected] | 直接联系项目维护者 |

💌 联系我们


<div align="center">

🌟 支持这个项目

如果 AI Notify MCP 对你有帮助,请考虑:

Star this repo Fork this repo

⭐ 给我们一个 Star • 🔀 Fork 并贡献 • 📢 分享给朋友

<br>

让 AI 编程体验更加智能和愉悦 ✨

⬆️ 回到顶部

</div>

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

No

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Protocol support is explicitly confirmed in contract metadata.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/contract"
curl -s "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/zhiyingzzhou/ai-notify-mcp#input",
  "outputSchemaRef": "https://github.com/zhiyingzzhou/ai-notify-mcp#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:44:58.286Z",
  "sourceUpdatedAt": "2026-02-24T19:44:58.286Z",
  "freshnessSeconds": 19632253
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-10-10T01:09:11.315Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "vscode",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cursor",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "trae",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "notification",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:mcp|supported|profile capability:vscode|supported|profile capability:cursor|supported|profile capability:trae|supported|profile capability:notification|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:58.286Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:58.286Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/zhiyingzzhou/ai-notify-mcp#input",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:58.286Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Zhiyingzzhou",
    "href": "https://github.com/zhiyingzzhou/ai-notify-mcp",
    "sourceUrl": "https://github.com/zhiyingzzhou/ai-notify-mcp",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-zhiyingzzhou-ai-notify-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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