> For the complete documentation index, see [llms.txt](https://docs.mailtrap.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mailtrap.io/guides/sdk/python-integration.md).

# Python

Learn how to integrate Mailtrap with Python apps and projects for email sending using SDK, SMTP, and RESTful API.

<a href="https://github.com/mailtrap/mailtrap-python" class="button primary">Mailtrap Python SDK on GitHub</a>

### Overview

Mailtrap can be integrated with Python apps and projects for email sending purposes.

### Email API/SMTP for Python

#### SDK Integration

The [Mailtrap Python SDK](https://github.com/mailtrap/mailtrap-python) is a Pythonic library for sending transactional and bulk emails with full type hints support. The SDK supports:

* Transactional email sending
* Batch email sending
* Template management
* Contact management
* Sandbox testing
* Account management
* Type hints for better IDE support

### Installation

Install the SDK using pip:

{% code title="pip" %}

```bash
pip install mailtrap
```

{% endcode %}

### Minimal Example

Here's a minimal example to send your first email:

{% code title="send\_email.py" %}

```python
import mailtrap as mt

API_TOKEN = "<YOUR_API_TOKEN>"  # your API key here https://mailtrap.io/settings/api-tokens

client = mt.MailtrapClient(token=API_TOKEN)

# Create mail object
mail = mt.Mail(
    sender=mt.Address(email="sender@example.com", name="John Smith"),
    to=[mt.Address(email="recipient@example.com")],
    subject="You are awesome!",
    text="Congrats for sending test email with Mailtrap!",
)

client.send(mail)
```

{% endcode %}

{% hint style="info" %}
Get your API token from your Mailtrap account under **Settings → API Tokens**.
{% endhint %}

#### SMTP Integration

To integrate SMTP with your Python app, navigate to the **Integrations** tab, choose the desired Python framework, and copy-paste the credentials or ready-made code snippets.

{% hint style="info" %}
SMTP integration is compatible with any Python framework or library that sends emails using SMTP.
{% endhint %}

<div data-with-frame="true"><img src="https://365478608-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FgkNigAKiqQtQub1GOdjY%2Fuploads%2Fgit-blob-424e66e21f0e3d1480887fab6b411cbe8faf92ba%2Fmailtrap-python-smtp-integration.png?alt=media" alt=""></div>

For more information read the [SMTP Integration article](/email-api-smtp/setup/smtp-integration.md).

#### RESTful API Integration

To integrate Mailtrap using RESTful API, use the configuration available among **Code samples** under the API section.

API integration can be used with any Python framework or library that supports HTTP requests. For more details, refer to the [API documentation](https://api-docs.mailtrap.io/docs/mailtrap-api-docs/5tjdeg9545058-mailtrap-api).

<div data-with-frame="true"><img src="https://365478608-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FgkNigAKiqQtQub1GOdjY%2Fuploads%2Fgit-blob-87a9d5c126fc6cb857dd1905d7a48bfc17b3ffed%2Fmailtrap-python-api-integration.png?alt=media" alt=""></div>

Read more about API integration in the [dedicated article](/email-api-smtp/setup/api-integration.md).


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.mailtrap.io/guides/sdk/python-integration.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.