How to Use AI with Mobile Text Alerts

Learn more about AI-powered features available with Mobile Text Alerts

Mobile Text Alerts has many built-in AI features to help simplify using our services, and if you’re using AI tools like Claude or Cursor, you can integrate these tools with MTA. MCP (Model Context Protocol) servers for Developer Center and the MTA API can help your AI assistants integrate easily with Mobile Text Alerts.

AI in Platform Dashboard

In the platform dashboard, there are several built-in AI powered features such as:

• Suggest a Message

• Shorten a Message

• Generate an Image

Look for the icon for quick access to these features.

Mobile Text Alerts MCP Server

What is an MCP server?

MCP (Model Context Protocol) servers are backend services that extend AI models like ChatGPT, Claude, Cursor with custom tools, data, or functionality. This provides a unified interface to internal and third-party data sources and tools (such as APIs). When integrating AI systems like LLMs (e.g. GPT-based agents), MCP provides the API context needed for the model to generate functional API calls.

The model (Claude, Cursor, etc.) acts as an MCP client, and includes built-in support for the MCP client interface. When you connect your AI client to an MCP server (such as the MTA MCP server) this allows the model to securely fetch information, run computations or interact with an external API.

Learn more about Model Context Protocol.

Click here to see a list of applications that support MCP integrations.

Developer Center

LLM-friendly version of Developer Center

The content on Developer Center can be downloaded in different formats to be used by Large Language Models (LLMs) to ingest and access. This allows AI systems like ChatGPT, Claude, Cursor, and Copilot to retrieve and provide accurate, contextual responses about the MTA API.

• .md pages - All pages of the Developer Center are available as markdown files. Add the .md extension to any page (or click on the Copy menu on the top right, and select View as Markdown) to see the content of that page rendered in markdown, which can be passed to an LLM for more efficient processing than an HTML file.

• llms.txt - This is a proposed standard for making web content available in text-based formats that are easier for LLMs to process.

  • https://developers.mobile-text-alerts.com/llms.txt

• lms-full.txt - Where the llms.txt file contains an index of all the page URLs and titles, the llms-full.txt contains the full content of Developer Center in one file that can be passed to LLMs as context.

  • https://developers.mobile-text-alerts.com/llms-full.txt

Open in ChatGPT or Claude

You can also ask ChatGPT or Claude questions about the content in Developer Center. Click on the Copy menu on the top right of any page, and select either Open in ChatGPT or Open in Claude. This will feed all the information in Developer Center into the AI so it can answer your MTA-related questions.

Developer Center MCP Server

This Developer Center GitBook site includes a Model Context Protocol (MCP) server. This allows AI assistants to access the documentation content directly. Your AI tools such as Claude Desktop, Cursor, and VS Code can use this server to access the information to answer questions about how to use MTA features.

How to connect an AI assistant to the Developer Center MCP Server

1

Copy the Developer Center MCP Server URL

Copy the following URL:

https://developers.mobile-text-alerts.com/~gitbook/mcp

(Or from any page you can click on the Copy menu on the top right, and select Connect with MCP to copy the URL.)

2

Configure your AI tool

Add the MCP server URL to your AI assistant’s settings. Each tool has a different setup process, so view the documentation for your tool to see how to configure an MCP server for it.

3

Query the Developer Center content

Once connected, your AI assistant will have real-time access to all the published Developer Center pages to retrieve specific pages and answer questions.