Let your AI draft the follow-up. Keep the send on your thumb.

Most "AI texting" tools get the split exactly backwards. They let the AI press send — fire the message, hit the list, no human in the loop — and ask the AI to also figure out what to say. That's the one arrangement guaranteed to produce spam from your number.

Taverity's MCP server inverts it. Connect Taverity to the LLM you already work in, and your assistant can do the genuinely hard part — drafting a thoughtful, context-aware follow-up — while the one irreversible action, sending from your own phone number, stays behind your thumb. AI drafting, human sending. That is the whole idea, and it's what makes putting a capable model on your follow-up actually safe.

Connect Taverity to the assistant you already use

The MCP server (Model Context Protocol) lets any MCP-capable LLM talk to your Taverity account. You add the connection once from your assistant's connector settings and sign in — no key to paste around, and it's available on individual plans, not just teams.

From then on, your assistant has a new ability: it can draft a follow-up and queue it for you. It cannot reach into your phone and send. The message shows up on your iPhone exactly like every other Taverity message, waiting for you.

Talk to your follow-up instead of operating an app

The first thing this opens up is the most underrated: you stop navigating a UI and just say what you want in the tool you're already in.

"Draft a warm check-in to the buyers who closed about a year ago this month, mention it's their home-iversary, and queue them for me to review."

Your assistant works that out, drafts each message, and queues them. You open your phone, read what it wrote, tweak anything that's off, and approve. The app was never the point — the follow-up was. MCP lets you skip straight to it.

Your assistant brings context an app never had

A standalone app only knows what you typed into it. Your LLM knows whatever you bring to the conversation — a closing summary you pasted, the notes from a call, the details of a deal, the voice you've been writing in all morning.

That means the draft can be specific: it can reference the actual house, the actual timeline, the thing the client mentioned, in the tone you actually use. Generic follow-up is what people tune out. An assistant that already has the context is how you get a message that sounds like you wrote it — because, in voice and substance, you effectively did.

Follow-up becomes one step in a bigger workflow

Because it's a tool your agent can call, follow-up stops being a separate chore and becomes a step inside whatever you're already doing. "Summarize this transaction, pull out anything I promised to do, and draft the thank-you note as a queued follow-up." One request, and the relationship step rides along with the work — instead of being the thing you meant to get to and didn't.

That composability is the quiet superpower. The assistant that helps you think can now also help you remember the people, and hand each draft to you to send.

The part that stays human — on purpose

Here is the line, stated plainly: Taverity does not write your messages. When AI drafting is involved, the words come from your own connected LLM, not from us. And no draft — from an LLM or anything else — leaves your phone on its own.

Every message your assistant queues lands on your iPhone. You approve and edit each one before it sends, or pre-authorize routine touches so they go out when your shortcut next runs. It sends from your own number, and replies come back to you. The model can propose; only you dispose.

That's why this is powerful and not reckless. You get a sharp drafter with all your context, working in natural language, woven into your existing workflow — without ever handing a machine the ability to text your past clients unsupervised from your personal number. The hard, valuable thing about follow-up was never pressing send. It was finding the minutes to write something worth sending. Let the assistant carry that part; keep the send where it belongs.