Agentify MCP Server

Agentify MCP Server

Enables real-time tracking of AI task starts and completions with integrated webhook notifications for monitoring activity. It allows users to log progress and send task-related event data to external services via configurable webhook URLs.

Category
访问服务器

README

Agentify MCP Server

npm version License: MIT Node.js Version

🤖 A simple MCP server for AI task tracking and webhook notifications

Track when AI starts and completes tasks, with real-time webhook notifications for all activities.

🚀 Features

  • task-started - Tool to call when starting any task
  • auto-task-tracker - Automatic tracking for long-running tasks
  • task-completed - Tool to call when completing any task
  • Webhook Notifications - Real-time webhook delivery for all tool calls
  • Environment Variable Configuration - Dynamic webhook URL management

📦 Installation

# Global installation
npm install -g agentify-mcp

# Or run with npx
npx agentify-mcp

⚙️ Webhook Configuration

1. Using Webhook.site (Recommended)

  1. Visit webhook.site
  2. Copy the auto-generated unique URL
  3. Set it up using one of the methods below

2. Environment Variable Setup

export AGENTIFY_WEBHOOK_URL="https://webhook.site/your-unique-id"
# or
export WEBHOOK_URL="https://webhook.site/your-unique-id"

agentify-mcp

3. Environment Variable Injection in MCP Configuration

Claude Desktop's claude_desktop_config.json:

{
  "mcpServers": {
    "agentify": {
      "command": "agentify-mcp",
      "env": {
        "AGENTIFY_WEBHOOK_URL": "https://webhook.site/your-unique-id",
        "LOG_LEVEL": "info"
      }
    }
  }
}

4. Configuration File Locations

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

🔧 Usage

AI Tool Call Examples

AI will automatically call tools like this:

// When starting a task
task_started({
  taskDescription: 'Starting React component refactoring',
});

// When completing a task
task_completed({
  taskDescription: 'Completed React component refactoring',
  outcome: 'success',
  details: '20% performance improvement',
});

Runtime Status Check

When the server starts, you can see the status:

🚀 Agentify MCP Server
📋 Webhook: ✅ Enabled      # When URL is configured
📝 Log Level: info

Or:

📋 Webhook: ❌ Disabled     # When URL is not configured

📡 Webhook Payload

All tool calls send webhooks in this format:

{
  "timestamp": "2024-01-01T12:00:00.000Z",
  "event": "tool_called",
  "toolName": "task-started",
  "arguments": {
    "taskDescription": "Starting React component refactoring"
  }
}
{
  "timestamp": "2024-01-01T12:00:00.000Z",
  "event": "tool_completed",
  "toolName": "task-completed",
  "arguments": {
    "taskDescription": "Completed React component refactoring",
    "outcome": "success"
  },
  "result": {
    "content": [{ "type": "text", "text": "✅ Task Completed..." }]
  },
  "duration": 150
}

🛠️ Developer Configuration

Programmatic Setup

import { AgentifyMCPServer } from 'agentify-mcp';

const server = new AgentifyMCPServer({
  webhookUrl: 'https://webhook.site/your-unique-id',
  logLevel: 'info',
});

await server.start();

Runtime Dynamic Configuration

const server = new AgentifyMCPServer();

// Set webhook URL later
server.setWebhookUrl('https://webhook.site/your-unique-id');

// Check webhook status
console.log(server.isWebhookEnabled()); // true/false

Local Development

git clone https://github.com/agentify/agentify-mcp.git
cd agentify-mcp
npm install

# Run in development mode
npm run dev

# Build
npm run build

# Run tests
npm test

# Type checking
npm run typecheck

# Linting
npm run lint

🔍 Troubleshooting

Webhook Not Working

  1. Check Environment Variables

    echo $AGENTIFY_WEBHOOK_URL
    
  2. Restart Claude Desktop

    • Completely restart Claude Desktop after environment variable changes
  3. Test with Webhook.site

    • Check if requests are received in real-time

MCP Connection Issues

  1. Check configuration file path
  2. Verify JSON syntax
  3. Confirm command path (agentify-mcp or npx agentify-mcp)

🛡️ Security

  • Webhook URLs are masked in logs
  • Secure management of sensitive information via environment variables
  • Runtime URL changes supported

🌟 Usage Examples

Basic Execution

# Run without webhook
agentify-mcp

# Run with webhook
AGENTIFY_WEBHOOK_URL="https://webhook.site/abc123" agentify-mcp

Using with Claude Desktop

  1. Generate URL from Webhook.site
  2. Add configuration to claude_desktop_config.json
  3. Restart Claude Desktop
  4. Receive real-time notifications whenever AI performs tasks

🧪 Testing

# Run all tests
npm test

# Run tests in watch mode
npm run test:watch

# Generate coverage report
npm run test:coverage

📈 API Reference

AgentifyMCPServer

Constructor Options

interface ServerConfig {
  webhookUrl?: string;
  logLevel?: 'debug' | 'info' | 'warn' | 'error';
}

Methods

  • start(): Promise<void> - Start the MCP server
  • stop(): Promise<void> - Stop the MCP server
  • setWebhookUrl(url: string): void - Set or update webhook URL
  • getWebhookUrl(): string | undefined - Get current webhook URL status
  • isWebhookEnabled(): boolean - Check if webhook is enabled

Available Tools

task-started

  • Description: Call when starting any task or work
  • Parameters:
    • taskDescription (string): Brief description of what was started

auto-task-tracker

  • Description: Automatically monitors long-running task progress
  • Parameters:
    • taskThresholdSeconds (number, optional): Auto-trigger threshold in seconds (default: 30)

task-completed

  • Description: Call when finishing any task or work
  • Parameters:
    • taskDescription (string): Brief description of what was completed
    • outcome ('success' | 'partial' | 'failed'): Task completion outcome
    • details (string, optional): Additional completion details

📄 License

MIT License - see the LICENSE file for details.

🔗 Links

📊 Stats

npm downloads GitHub stars GitHub issues

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选