Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Agentify MCP ServerLog that I'm starting the documentation update task"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Agentify MCP Server
π€ 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.
π Features
task-started- Tool to call when starting any taskauto-task-tracker- Automatic tracking for long-running taskstask-completed- Tool to call when completing any taskWebhook Notifications - Real-time webhook delivery for all tool calls
Environment Variable Configuration - Dynamic webhook URL management
π¦ Installation
# Global installation
npm install -g agentify-mcp
# Or run with npx
npx agentify-mcpβοΈ Webhook Configuration
1. Using Webhook.site (Recommended)
Visit webhook.site
Copy the auto-generated unique URL
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-mcp3. 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.jsonWindows:
%APPDATA%/Claude/claude_desktop_config.jsonLinux:
~/.config/Claude/claude_desktop_config.json
π§ 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:
π Agentify MCP Server
π Webhook: β
Enabled # When URL is configured
π Log Level: infoOr:
π Webhook: β Disabled # When URL is not configuredπ‘ 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": "β
Task Completed..." }]
},
"duration": 150
}π οΈ 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/falseLocal 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 lintπ Troubleshooting
Webhook Not Working
Check Environment Variables
echo $AGENTIFY_WEBHOOK_URLRestart Claude Desktop
Completely restart Claude Desktop after environment variable changes
Test with Webhook.site
Check if requests are received in real-time
MCP Connection Issues
Check configuration file path
Verify JSON syntax
Confirm command path (
agentify-mcpornpx agentify-mcp)
π‘οΈ Security
Webhook URLs are masked in logs
Secure management of sensitive information via environment variables
Runtime URL changes supported
π Usage Examples
Basic Execution
# Run without webhook
agentify-mcp
# Run with webhook
AGENTIFY_WEBHOOK_URL="https://webhook.site/abc123" agentify-mcpUsing with Claude Desktop
Generate URL from Webhook.site
Add configuration to
claude_desktop_config.jsonRestart Claude Desktop
Receive real-time notifications whenever AI performs tasks
π§ͺ Testing
# Run all tests
npm test
# Run tests in watch mode
npm run test:watch
# Generate coverage report
npm run test:coverageπ API Reference
AgentifyMCPServer
Constructor Options
interface ServerConfig {
webhookUrl?: string;
logLevel?: 'debug' | 'info' | 'warn' | 'error';
}Methods
start(): Promise<void>- Start the MCP serverstop(): Promise<void>- Stop the MCP serversetWebhookUrl(url: string): void- Set or update webhook URLgetWebhookUrl(): string | undefined- Get current webhook URL statusisWebhookEnabled(): 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 completedoutcome('success' | 'partial' | 'failed'): Task completion outcomedetails(string, optional): Additional completion details
π License
MIT License - see the LICENSE file for details.
π Links
π Stats
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