🪝 mcp-webhook

A powerful MCP server that enables webhook messaging capabilities for your AI agents

Send messages to any webhook endpoint through Claude, Dive, and other MCP-compatible AI systems. Perfect for notifications, alerts, and automated messaging.

Features • Installation • Tools • Usage • Configuration

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✨ Features

🌐 Generic Webhook Support

• Works with any webhook endpoint
• Compatible with Discord, Slack, Mattermost
• Custom HTTP POST requests
• JSON payload formatting

🎨 Customization

• Custom display name (username)
• Avatar URL support
• Flexible message content
• Easy integration with any platform

🔌 MCP Integration

• Works with Dive Desktop
• Claude Desktop compatible
• Cursor, VS Code support
• Any MCP-compatible LLM

🛡️ Simple & Secure

• Minimal configuration
• Environment variable support
• No tracking or analytics
• MIT licensed

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🚀 Installation

Getting Started

Add the following config to your MCP client:

{
  "mcpServers": {
    "webhook": {
      "command": "npx",
      "args": ["-y", "@kevinwatt/mcp-webhook"],
      "env": {
        "WEBHOOK_URL": "your-webhook-url"
      }
    }
  }
}

MCP Client Configuration

1. Open Dive Desktop
2. Click "+ Add MCP Server"
3. Paste the config provided above
4. Click "Save" and you're ready!

Use the Claude Code CLI to add the webhook MCP server (guide):

claude mcp add webhook -- npx @kevinwatt/mcp-webhook

Then set the webhook URL in your environment or config.

Add to your claude_desktop_config.json:

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

{
  "mcpServers": {
    "webhook": {
      "command": "npx",
      "args": ["-y", "@kevinwatt/mcp-webhook"],
      "env": {
        "WEBHOOK_URL": "your-webhook-url"
      }
    }
  }
}

Go to Cursor Settings -> MCP -> New MCP Server. Use the config provided above.

Install via the VS Code CLI:

code --add-mcp '{"name":"webhook","command":"npx","args":["-y","@kevinwatt/mcp-webhook"],"env":{"WEBHOOK_URL":"your-webhook-url"}}'

Or follow the MCP install guide with the standard config from above.

Follow the configure MCP guide using the standard config from above.

Follow Cline MCP configuration guide and use the config provided above.

Go to Settings | AI | Manage MCP Servers -> + Add to add an MCP Server. Use the config provided above.

Go to Settings | Tools | AI Assistant | Model Context Protocol (MCP) -> Add. Use the config provided above.

Installing via Smithery

To install MCP Webhook Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @kevinwatt/mcp-webhook --client claude

Manual Installation

npm install -g @kevinwatt/mcp-webhook

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🛠️ Available Tools

Send a message to the configured webhook endpoint

• Parameters:
  • content (string, required): Message content to send
  • username (string, optional): Custom display name
  • avatar_url (string, optional): Custom avatar URL
• Returns: Success/failure status

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💡 Usage Examples

Basic Messages

"Send a message to webhook: Hello World!"
"Send 'Build completed successfully' to the webhook"
"Notify the team: Deployment finished"

Custom Username

"Send a message with username 'Deploy Bot': Production update complete"
"Send content='Server restarted', username='System Monitor'"

With Avatar

"Send a message with custom avatar: content='Alert!', avatar_url='https://example.com/alert.png'"

Automation Examples

"Send a webhook message when the build completes"
"Notify via webhook: All tests passed!"
"Send deployment status to the webhook channel"

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🔧 Configuration

Environment Variables

Variable	Description	Required
WEBHOOK_URL	The webhook endpoint URL	Yes

Example Configurations

Discord Webhook:

{
  "env": {
    "WEBHOOK_URL": "https://discord.com/api/webhooks/..."
  }
}

Slack Incoming Webhook:

{
  "env": {
    "WEBHOOK_URL": "https://hooks.slack.com/services/..."
  }
}

Mattermost Webhook:

{
  "env": {
    "WEBHOOK_URL": "https://your-mattermost.com/hooks/..."
  }
}

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🏗️ Architecture

Built With

• MCP SDK - Model Context Protocol
• Axios - HTTP client
• TypeScript - Type safety and developer experience

Key Features

• ✅ Simple: Minimal setup, just provide a webhook URL
• ✅ Flexible: Works with any webhook-compatible service
• ✅ Type-Safe: Full TypeScript support
• ✅ Lightweight: Minimal dependencies

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🤝 Contributing

Contributions are welcome!

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

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🙏 Acknowledgments

• Anthropic - For the Model Context Protocol
• Dive - MCP-compatible AI platform

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📚 Related Projects

• MCP Servers - Official MCP server implementations
• Dive Desktop - AI agent platform

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