OneSignal MCP Server: Enhanced Integration for AI Applications

Overview: What is OneSignal MCP Server?

The OneSignal MCP Server is designed to provide a robust interface for integrating various AI applications (like Claude Desktop, Continue, and Cursor) with external tools and data sources through the Model Context Protocol (MCP). This server simplifies interactions with the OneSignal API by offering a set of tools tailored to common tasks such as sending notifications, email campaigns, SMS messaging, managing user devices, and working with segments and templates. By leveraging MCP's universal adapter framework, developers can seamlessly connect their AI applications to a wide range of platforms.

🔧 Core Features & MCP Capabilities

The OneSignal MCP Server provides several key capabilities that enhance the functionality of AI applications:

• Multi-app Support: Manage multiple OneSignal applications through a single server instance.
• Comprehensive Toolset: Includes utilities for sending notifications, managing user devices and subscriptions, creating segments and templates, viewing app information, and performing organization-level operations.
• MCP Protocol Compliance: Ensures seamless communication between AI applications and the OneSignal API by adhering to MCP standards.
• Real-time Data Processing: Enables AI applications to process data in real time for enhanced decision making.

These features make the server a versatile tool that can be integrated into various AI workflows, delivering precise and efficient interactions with external systems.

⚙️ MCP Architecture & Protocol Implementation

The OneSignal MCP Server is built around a modular architecture that allows it to seamlessly connect AI applications with diverse tools. The core components include:

• MCP Client: Facilitates the communication between the server and the host application.
• MCP Protocol: A standardized protocol for interacting with external services.
• REST API Wrapper: Provides an easy-to-use interface for calling OneSignal's REST API.

The architecture is designed to be flexible, allowing for the addition of new clients or modifications without affecting existing functionalities. The protocol implementation ensures that interactions are secure and compliant with MCP standards.

🚀 Getting Started with Installation

To get started with the OneSignal MCP Server, follow these steps:

Option 1: Clone from GitHub

# Clone the repository
git clone https://github.com/weirdbrains/onesignal-mcp.git
cd onesignal-mcp

# Install dependencies
pip install -r requirements.txt

Option 2: Install as a Package (Coming Soon)

pip install onesignal-mcp

💡 Key Use Cases in AI Workflows

The OneSignal MCP Server is particularly useful for scenarios where AI applications need to interact with user devices and deliver personalized notifications. Here are two real-world use cases:

Real-time Notification Delivery

In a customer service application, the server can be used to send push notifications to users based on their recent activity or preferences. For example, if a user abandons their cart on an e-commerce site, the AI application can trigger a notification reminding them of the products they left behind.

# Send a notification to a specific user
result = await send_notification(
    title="Don't Forget Your Cart!",
    message="You have items in your shopping cart. Click here to view.",
    user_id="user-12345"
)

print(result)

Personalized Email Campaigns

For an marketing AI application, the server can help plan and execute email campaigns targeted at specific segments of users. By using OneSignal's powerful segmentation features, you can create custom lists of recipients for highly personalized emails.

# Create a new segment for high-value customers
result = await create_segment(
    name="High Value Users",
    filters='[{"field":"amount_spent", "relation":">", "value":"100"}]'
)

print(result)

🔌 Integration with MCP Clients

The following AI applications are compatible with the OneSignal MCP Server:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

This compatibility matrix ensures that developers can select the appropriate MCP client based on their needs.

📊 Performance & Compatibility Matrix

The OneSignal MCP Server is tested and optimized for performance with various AI applications. Here’s a brief overview of its compatibility:

Application	Notifications	Segments	Templates	Devices
Claude Desktop	High	Medium	Low	Low
Continue	High	High	High	Medium

This matrix helps you understand the level of functionality provided by the server for different types of interactions.

🛠️ Advanced Configuration & Security

The server supports advanced configuration options to tailor its behavior:

• Multi-app Support: Add and manage multiple OneSignal applications.
• Security Enhancements: Configure logging levels, authentication methods, and encryption settings.
• Customization Options: Customize notifications, templates, and segments according to specific requirements.

Example Configuration Code

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

❓ Frequently Asked Questions (FAQ)

Q1: How do I set up the OneSignal MCP Server for my AI application?

First, clone the repository and install the dependencies. Then, configure your .env file with appropriate credentials.

Q2: Can I use this server to manage multiple OneSignal applications simultaneously?

Yes, you can add multiple app configurations and switch between them as needed.

Q3: What kind of error handling is included in the server?

The server includes robust error handling for API calls, ensuring that issues are caught and logged appropriately.

Q4: Is there a comprehensive test suite available?

Yes, the server comes with a test suite that covers various scenarios and edge cases to ensure reliability.

Q5: How do I switch between different OneSignal applications in my AI application?

Use the switch_app function provided by the MCP client to change the currently selected app context.

👨‍💻 Development & Contribution Guidelines

We encourage contributions from developers looking to enhance the OneSignal MCP Server. Please refer to the CONTRIBUTING.md file for detailed guidelines on submitting patches and pull requests.

🌐 MCP Ecosystem & Resources

For more information and resources related to Model Context Protocol, consider visiting its official website or checking out community forums where developers can share insights and best practices.

MCP Protocol Flow Diagram

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

MCP Client Compatibility Matrix

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

This documentation highlights the OneSignal MCP Server's capabilities, ensuring that developers can integrate it effectively into their AI applications. By leveraging its advanced features and compatibility with various clients, you can create robust and efficient workflows that enhance user engagement and satisfaction.