> For the complete documentation index, see [llms.txt](https://doc.cards-microlearning.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.cards-microlearning.com/english/apps-and-integrations/mcp.md).

# AI agents & MCP

On Cards you have two options for using AI as agents. Either you create agents that can be used directly in the Cards interface, or you use our MCP connector to connect your own AI software (Mistral, Claude, ChatGPT or other compatible tools) to Cards.

In the case of AI agents directly integrated into Cards, OpenAI is used as the engine. Using these agents consumes your AI credits, whereas MCPs do not (since your AI performs the processing).

{% hint style="info" %}
[Contact us](https://www.cards-microlearning.com/contact) to activate AI Agents and MCP integration.
{% endhint %}

To learn more about agents and connectors, visit the dedicated pages:

* [AI agents](/english/ai-agents-and-mcp/ai-agents.md)
* [MCP connectors](/english/ai-agents-and-mcp/mcp-connectors.md)

To use a connector, find the documentation that corresponds to your software:

* [Mistral](/english/ai-agents-and-mcp/mistral.md)
* [Claude](/english/ai-agents-and-mcp/claude.md)
* [ChatGPT](/english/ai-agents-and-mcp/chatgpt.md)

An ["advanced" connection](/english/ai-agents-and-mcp/advanced-login.md) mode is also available for MCP connectors.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://doc.cards-microlearning.com/english/apps-and-integrations/mcp.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.