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agentify-mcp

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0 stars TypeScriptAI & Machine Learning Updated Jul 1, 2025

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. 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

    3. Test with Webhook.site

      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.

      📊 Stats

      npm downloads
      GitHub stars
      GitHub issues

      Frequently asked questions

      What is agentify-mcp?

      agentify-mcp is a Model Context Protocol (MCP) server listed in the TrackMCP directory.

      How do I install agentify-mcp?

      Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

      Is agentify-mcp open source?

      Yes — it is hosted on GitHub at https://github.com/gargoyle92/agentify-mcp.

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