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Unhook AI

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MCP IntegrationAI-Powered Webhook Debugging

Debug AI Agents with
Model Context Protocol

Use Unhook's MCP server to access webhook data directly from Claude, Cursor, and other AI assistants. Debug webhook issues faster with intelligent analysis.

Get Started with MCPView Documentation
AI Integration

Test AI Agents with MCP Servers

Debug AI agent workflows by testing webhooks triggered by Model Context Protocol (MCP) servers. Perfect for validating AI-driven automations and agentic systems.

AI + MCP + Webhook Testing
Live Testing
AI Agent

AI agent receives user request and needs to execute actions via MCP tools

MCP Server

MCP server processes tool calls and triggers webhooks to external services

Unhook Testing

Capture, inspect, and replay webhook events triggered by AI actions

MCP Tool Implementation
// AI Agent triggers MCP tool
await mcp.callTool('webhook-trigger', {
  endpoint: 'https://unhook.sh/wh_abc123',
  action: 'user_created',
  data: { userId: '12345', email: 'user@example.com' }
});

// Unhook captures the webhook
POST /wh_abc123
{
  "event": "user_created",
  "data": { "userId": "12345", "email": "user@example.com" },
  "timestamp": "2025-01-09T10:30:00Z"
}
Live AI Testing Session
AI:"Creating user account via MCP tool..."
MCP:Tool execution → Webhook triggered
Unhook:✓ Webhook captured & ready for inspection

AI Agent Testing

Test AI agents that trigger webhooks through MCP tools. Validate that your AI correctly executes actions and handles responses.

Use Cases: Customer service bots, task automation, data processing agents

MCP Tool Validation

Debug MCP server tools that call external APIs. Ensure your tools properly format requests and handle webhook responses.

Use Cases: CRM integrations, payment processing, notification systems

End-to-End AI Workflows

Test complete AI workflows from trigger to completion. Monitor webhook chains and validate multi-step AI processes.

Use Cases: Order processing, content generation, security monitoring

Ready to test your AI-powered webhooks?

Set up Unhook in VS Code and start debugging your MCP-powered AI agents today.

Powerful MCP Features

Everything you need to debug webhooks with AI assistance

Access Webhook Data

Access Webhook Data

Query your webhook events and requests directly from AI assistants

Intelligent Analysis

Intelligent Analysis

Get AI-powered insights into webhook failures and performance issues

Real-time Debugging

Real-time Debugging

Debug webhook issues as they happen with live data access

Secure Integration

Secure Integration

Enterprise-grade security with scoped access and authentication

How Teams Use MCP

Real-world examples of debugging webhooks with AI assistance

Debug Failed Webhooks

Ask Claude or Cursor why your webhooks are failing and get instant analysis with actionable fixes.

"Why are my Stripe webhooks failing?" → Get detailed error analysis and solutions

Performance Monitoring

Track webhook performance metrics and identify bottlenecks with AI-powered insights.

"Generate a performance report for my webhooks" → See response times, success rates, and trends

Payload Inspection

Examine webhook payloads and headers to debug integration issues quickly.

"Show me the last GitHub webhook payload" → Instantly access and analyze webhook data

Easy Integration

Set up Unhook's MCP server in minutes and start debugging webhooks with AI assistance. Works seamlessly with Claude Desktop, Cursor, and any MCP-compatible AI assistant.

Quick Setup

Quick Setup

Add Unhook to your AI assistant config in under 2 minutes

Secure Access

Secure Access

API token authentication with organization-scoped data

Full Feature Access

Full Feature Access

Search, analyze, and debug webhooks with powerful tools

Claude Desktop Configuration

{
  "mcpServers": {
    "unhook": {
      "url": "https://app.unhook.sh/api/mcp",
      "transport": "http",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

MCP Integration FAQ

What is Model Context Protocol (MCP)?

MCP is an open standard that enables AI assistants to securely access data and tools from external systems. With Unhook's MCP server, AI assistants can access your webhook data for debugging and analysis.

Which AI assistants support MCP?

Currently, Claude Desktop and Cursor have built-in MCP support. Any AI assistant that implements the MCP standard can connect to Unhook's MCP server.

Is my webhook data secure?

Yes, all MCP requests require authentication via API tokens. Data access is scoped to your organization only, and all communication is encrypted over HTTPS.

What can I do with the MCP integration?

You can search webhook events, analyze failures, inspect payloads, get performance reports, and receive AI-powered debugging recommendations—all without leaving your AI assistant.

Start Debugging with AI Today

Connect your AI assistant to Unhook and experience the future of webhook debugging. No credit card required.

Create Your First WebhookRead MCP Documentation
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Unhook AI

Open source toolkit for webhook development. Install the extension in your editor to test, debug, and monitor webhooks with your team - all from your local environment.

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