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Built with ❤️ by Krishna Goyal

    Agentify Mcp

    0 stars
    TypeScript
    Updated Jul 1, 2025

    Table of Contents

    • 🚀 Features
    • 📦 Installation
    • ⚙️ Webhook Configuration
    • 1. Using Webhook.site (Recommended)
    • 2. Environment Variable Setup
    • 3. Environment Variable Injection in MCP Configuration
    • 4. Configuration File Locations
    • 🔧 Usage
    • AI Tool Call Examples
    • Runtime Status Check
    • 📡 Webhook Payload
    • 🛠️ Developer Configuration
    • Programmatic Setup
    • Runtime Dynamic Configuration
    • Local Development
    • 🔍 Troubleshooting
    • Webhook Not Working
    • MCP Connection Issues
    • 🛡️ Security
    • 🌟 Usage Examples
    • Basic Execution
    • Using with Claude Desktop
    • 🧪 Testing
    • 📈 API Reference
    • AgentifyMCPServer
    • Constructor Options
    • Methods
    • Available Tools
    • task-started
    • auto-task-tracker
    • task-completed
    • 📄 License
    • 🔗 Links
    • 📊 Stats

    Table of Contents

    • 🚀 Features
    • 📦 Installation
    • ⚙️ Webhook Configuration
    • 1. Using Webhook.site (Recommended)
    • 2. Environment Variable Setup
    • 3. Environment Variable Injection in MCP Configuration
    • 4. Configuration File Locations
    • 🔧 Usage
    • AI Tool Call Examples
    • Runtime Status Check
    • 📡 Webhook Payload
    • 🛠️ Developer Configuration
    • Programmatic Setup
    • Runtime Dynamic Configuration
    • Local Development
    • 🔍 Troubleshooting
    • Webhook Not Working
    • MCP Connection Issues
    • 🛡️ Security
    • 🌟 Usage Examples
    • Basic Execution
    • Using with Claude Desktop
    • 🧪 Testing
    • 📈 API Reference
    • AgentifyMCPServer
    • Constructor Options
    • Methods
    • Available Tools
    • task-started
    • auto-task-tracker
    • task-completed
    • 📄 License
    • 🔗 Links
    • 📊 Stats

    Documentation

    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

    bash
    # 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

    bash
    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:

    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:

    javascript
    // 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:

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

    Or:

    code
    📋 Webhook: ❌ Disabled     # When URL is not configured

    📡 Webhook Payload

    All tool calls send webhooks in this format:

    json
    {
      "timestamp": "2024-01-01T12:00:00.000Z",
      "event": "tool_called",
      "toolName": "task-started",
      "arguments": {
        "taskDescription": "Starting React component refactoring"
      }
    }
    json
    {
      "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

    typescript
    import { AgentifyMCPServer } from 'agentify-mcp';
    
    const server = new AgentifyMCPServer({
      webhookUrl: 'https://webhook.site/your-unique-id',
      logLevel: 'info',
    });
    
    await server.start();

    Runtime Dynamic Configuration

    typescript
    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

    bash
    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

    bash
    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

    bash
    # 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

    bash
    # 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

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

    Methods

    • start(): Promise - Start the MCP server
    • stop(): Promise - 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

    • GitHub Repository
    • npm Package
    • Issues

    📊 Stats

    npm downloads

    GitHub stars

    GitHub issues

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