If you want to integrate our payment solutions with AI assistance, we have a series of resources to offer you.

The Mercado Pago Assistant is an AI-powered conversational model that seeks to assist you with your queries within Mercado Pago Developers. Using the chat, the assistant will guide you in selecting solutions to integrate according to your needs, details about our APIs, or even specific instructions about your integrations.

If you use LLMs (Large Language Models), such as those that power Chat GPT or Gemini, to assist you in your integration with Mercado Pago, and want to use our documentation as input, the best format to provide it to the agents is in markdown, also known as "plain text".

This formatting allows AI agents to access the content in raw form, avoiding complexities inherent to frontend rendering and, therefore, reducing formatting tokens. Additionally, it provides LLMs with an easily navigable hierarchy.

You can access our documentation in plain text in two ways:

• Using the buttons located in the upper margin of any URL, where you can choose whether you want to view it as markdown or copy that markdown to use it in the LLM of your preference.
• Adding ".md" at the end of any of our documentation URLs, which will display it in markdown.

Additionally, you can use the llms.txt files from our documentation and API Reference, that guides the LLMs when navigating Mercado Pago Developers, facilitating the efficient reading.

The Model Context Protocols (MCP) are servers that allow interaction with various tools or APIs through AI agents or LLMs in compatible development environments.

Mercado Pago MCP Server, specifically, acts as an intermediary to facilitate access, in natural language, to Mercado Pago's APIs, tools, and documentation from the code editor of your preference.

By providing instructions, agents automatically resort to tools, executable functions invoked to perform actions, and determine which are the appropriate ones to carry out the specified tasks, being able to assist in complete integrations of our solutions, improve the quality of developed applications, or generate additional resources.

Access the Mercado Pago MCP Server documentation to learn in detail about its functionalities and how to configure it.

We have a Prompt Library that brings together templates designed to facilitate your interaction with AI agents, whether you use our MCP or any other tool.

It is a set of models with detailed and adapted instructions for different use cases, designed to correctly direct the actions that agents will execute in your integration with Mercado Pago.

Check out our Prompt Library to find the template that best suits your project.