iMessage API for AI Agents
Build intelligent messaging bots that send and receive iMessages. Connect Claude, GPT-4, or any LLM to Sendblue's API for automated two-way business conversations over blue bubbles.
How It Works
Connect Your LLM
Integrate Claude, GPT-4, Gemini, or any AI model with Sendblue's webhook and API endpoints.
Receive Messages via Webhook
Incoming iMessages are delivered to your webhook URL in real time with full message content and metadata.
Process with AI
Your agent analyzes the message, accesses context, and generates an intelligent response using your LLM of choice.
Reply via API
Send the AI-generated response back as a blue bubble iMessage through Sendblue's REST API.
Key Features
Any LLM, Any Framework
Works with Claude, GPT-4, Gemini, LLaMA, Mistral, or any AI model. Use LangChain, CrewAI, AutoGen, or build custom.
Real-Time Webhooks
Incoming messages hit your webhook instantly. Process, reason, and respond in seconds for natural conversation flow.
MCP Server for Dev Tools
Sendblue's MCP server integrates with Claude Code, Cursor, and VS Code so AI dev tools can send iMessages directly.
Blue Bubble Trust
AI agents send as blue bubbles, not SMS. Recipients trust and engage with iMessages at 3-5x the rate of green bubble texts.
Rich Media Support
Send images, contact cards, and links. AI agents can share product photos, booking confirmations, and vCards.
Conversation Memory
Maintain context across messages. Build agents that remember previous interactions and provide personalized responses.
By the Numbers
Webhook → LLM → Response Flow
Here's how a typical AI agent processes an incoming iMessage and responds using Sendblue's API:
// Express webhook handler for incoming iMessages
app.post('/webhook/incoming', async (req, res) => {
const { content, number, media_url } = req.body;
// Process with your LLM of choice
const aiResponse = await generateResponse({
message: content,
sender: number,
context: await getConversationHistory(number)
});
// Reply via Sendblue API
await fetch('https://api.sendblue.co/api/send-message', {
method: 'POST',
headers: {
'sb-api-key-id': process.env.SENDBLUE_API_KEY,
'sb-api-secret-key': process.env.SENDBLUE_API_SECRET,
'Content-Type': 'application/json'
},
body: JSON.stringify({
number: number,
content: aiResponse.text,
send_style: 'invisible'
})
});
res.status(200).send('OK');
});How AI Agents Use the iMessage API
AI agents built on Sendblue follow a simple webhook-based architecture. When someone sends an iMessage to your Sendblue number, the message is delivered to your webhook URL in real time. Your agent processes the message with any LLM — Claude, GPT-4, Gemini, or an open-source model — and sends a response back through the API.
This architecture supports any AI framework: LangChain, CrewAI, AutoGen, custom Python scripts, or enterprise AI platforms. Because Sendblue provides a standard REST API and webhooks, there are no proprietary SDKs or lock-in.
Example AI Agent Workflows
Lead Qualification
An AI agent receives inbound inquiries via iMessage, asks qualifying questions (budget, timeline, decision-maker), scores the lead, and routes hot leads to a sales rep with full context. Cold leads get nurtured with automated follow-ups.
Appointment Scheduling
Patients or clients text your Sendblue number. The AI agent checks calendar availability, suggests time slots, confirms bookings, and sends reminders — all via iMessage. No app downloads, no web forms, just natural conversation.
Customer Support Triage
Incoming support messages are classified by intent and urgency. The AI agent resolves common questions instantly (order status, return policy, hours) and escalates complex issues to human agents with full conversation context.
Real Estate Follow-Up
When a lead views a listing, the AI agent sends a personalized iMessage with property details and a contact card. It answers questions about the property, schedules showings, and keeps the lead engaged with blue bubble conversations.
Why iMessage Beats SMS for AI Agents
Blue bubble trust: Recipients are 3-5x more likely to respond to an iMessage than an SMS. For AI agents, higher response rates mean more conversations, more data, and more conversions.
No carrier filtering: SMS from AI agents is frequently flagged as spam by carrier A2P filters. iMessages bypass carrier networks entirely, ensuring every message is delivered to the recipient's inbox.
Rich media: AI agents can send images, contact cards, and links inline. Share product photos, booking confirmations, or vCards that save your business info directly to the recipient's phone.
Read receipts: Know when the recipient has read your message. AI agents can use read receipt data to time follow-ups intelligently.
No A2P registration: Skip the weeks-long carrier registration process. Deploy your AI agent immediately with Sendblue's API — no campaign approval needed.
Sendblue MCP Server for AI Development
Sendblue provides an MCP (Model Context Protocol) server that integrates with AI development tools like Claude Code, Cursor, and VS Code. This lets AI coding assistants send and receive iMessages as part of development and testing workflows.
The MCP server is especially useful for AI agent developers who want to test their messaging flows directly from their IDE, without switching to a separate testing tool.
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Get API AccessFrequently Asked Questions
Can I connect ChatGPT to iMessage?
Yes. Sendblue's API works with any LLM including ChatGPT (GPT-4), Claude, Gemini, and open-source models. Incoming iMessages are delivered to your webhook, where you process them with your chosen AI model and respond via the API. There's no lock-in to any specific AI provider.
How do AI agents receive iMessages?
Sendblue delivers incoming iMessages to your webhook URL in real time via HTTP POST. Your webhook receives the message content, sender number, media URLs, and metadata. Your AI agent processes this data and sends a response through Sendblue's REST API.
What LLMs work with Sendblue?
Any LLM works with Sendblue. The API is model-agnostic — you can use Claude (Anthropic), GPT-4 (OpenAI), Gemini (Google), LLaMA, Mistral, or any other model. Popular frameworks like LangChain, CrewAI, and AutoGen all integrate easily with Sendblue's webhook and API architecture.
Is AI messaging via iMessage compliant?
Sendblue is SOC 2 compliant and supports HIPAA with Business Associate Agreements. AI agents built on Sendblue inherit these compliance certifications. You're responsible for ensuring your AI agent's behavior complies with applicable regulations, but the messaging infrastructure is enterprise-grade and audited.