mailjunky 0.1.1

Python SDK for MailJunky - Email API with AI-Powered Workflows

MailJunky Python SDK

Python SDK for MailJunky - Email API with AI-Powered Workflows.

Documentation | API Reference | Get API Key

Installation

pip install mailjunky

Or with pip from GitHub:

pip install git+https://github.com/swmcc/mailjunky-python.git

Quick Start

from mailjunky import Client

client = Client(api_key="your-api-key")

client.emails.send(
    from_="[e-mail]",
    to="[e-mail]",
    subject="Welcome!",
    html="<h1>Welcome aboard</h1>"
)

Features

• Emails - Send transactional emails with full control
• Contacts - Manage contacts with tags and properties
• Events - Track user behaviour for AI-powered workflows
• Type hints - Full type annotations for IDE support
• Async ready - Built on httpx for future async support

Usage

Sending Emails

from mailjunky import Client

client = Client(api_key="your-api-key")

# Simple send
client.emails.send(
    from_="[e-mail]",
    to="[e-mail]",
    subject="Welcome!",
    html="<h1>Welcome</h1>",
    text="Welcome"  # Plain text fallback
)

# With all options
client.emails.send(
    from_="[e-mail]",
    to=["[e-mail]", "[e-mail]"],
    subject="Team Update",
    html="<h1>News</h1>",
    cc="[e-mail]",
    bcc="[e-mail]",
    reply_to="[e-mail]",
    tags=["newsletter"],
    metadata={"campaign_id": "123"}
)

# Batch send
client.emails.send_batch([
    {"from": "[e-mail]", "to": "[e-mail]", "subject": "Hi A"},
    {"from": "[e-mail]", "to": "[e-mail]", "subject": "Hi B"},
])

Managing Contacts

# Create a contact
client.contacts.create(
    email="[e-mail]",
    first_name="John",
    last_name="Doe",
    tags=["customer", "newsletter"]
)

# Upsert (create or update)
client.contacts.upsert(
    email="[e-mail]",
    properties={"plan": "premium"}
)

# List with filters
contacts = client.contacts.list(tag="customer", limit=50)

# Update
client.contacts.update(id="contact_123", tags=["vip"])

# Delete
client.contacts.delete(id="contact_123")

Tracking Events

# Track user behaviour for AI workflows
client.events.track(
    event="purchase_completed",
    user={"email": "[e-mail]"},
    properties={
        "order_id": "12345",
        "amount": 99.99,
        "items": ["SKU-001", "SKU-002"]
    }
)

Global Configuration

import mailjunky

# Configure once
mailjunky.configure(api_key="your-api-key")

# Create clients without passing api_key
client = mailjunky.Client()

Context Manager

with Client(api_key="your-api-key") as client:
    client.emails.send(...)
# Connection automatically closed

Error Handling

from mailjunky import (
    Client,
    AuthenticationError,
    ValidationError,
    RateLimitError,
    ServerError,
)

client = Client(api_key="your-api-key")

try:
    client.emails.send(...)
except AuthenticationError:
    print("Invalid API key")
except ValidationError as e:
    print(f"Invalid request: {e.message}")
    print(f"Details: {e.body}")
except RateLimitError:
    print("Slow down! Rate limit exceeded")
except ServerError:
    print("MailJunky is having issues, try again later")

Development

make install   # Install dependencies
make test      # Run tests
make lint      # Run ruff + mypy
make check     # Run all checks

License

MIT