# How to Use AI 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 Mobile Text Alerts. MCP (Model Context Protocol) servers for Developer Center and the Mobile Text Alerts API can help your AI assistants integrate easily with Mobile Text Alerts.

## AI in Platform Dashboard

In the [platform dashboard](https://platform.mobile-text-alerts.com), there are several built-in AI powered features such as:

* Suggest a Message
* Shorten a Message  
* Generate an Image

&#x20;Look for the <img src="/files/rCN0pFi2UrfoCHjfVYLq" alt="" data-size="line"> 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.

New to MCP Servers and want to learn more? See [MCP Servers](/mcp-servers.md).

## 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 Mobile Text Alerts 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`**](https://llmstxt.org/) - 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`](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.&#x20;
  * [`https://developers.mobile-text-alerts.com/llms-full.txt`](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.

<div align="left"><figure><img src="/files/zoqPkePDkd9rBtSqeH0u" alt="" width="262"><figcaption></figcaption></figure></div>

### 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 Mobile Text Alerts features.&#x20;

There is also the [Knowledge Base MCP Server](/mcp-servers/knowledge-base-mcp-server.md) hosted by Mobile Text Alerts that contains both the Developer Center content and the [Help Center](https://mobile-text-alerts.deskpro.com/) content.

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

{% stepper %}
{% step %}

### 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.)
{% endstep %}

{% step %}

### 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.
{% endstep %}

{% step %}

### 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.
{% endstep %}
{% endstepper %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://developers.mobile-text-alerts.com/ai/how-to-use-ai-with-mobile-text-alerts.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.