Build · the app already in every pocket
Messaging is the one app on every phone on earth — already open, already trusted, nothing to download and no password to forget. Listrak Converse is how you put real, working things inside it: guided ordering, returns, bookings, intake, delivery, care. Cards, carousels, buttons, photos, payments and memory — authored once, running on whichever rail the customer answers.
Beyond the sale
None of these is a separate product, an integration, or another vendor. They are workflows — the same thing, authored the same way, running in the same thread your customer is already in.
“Your order arrives today” — confirm, reschedule, or get doorstep photo proof without a phone call.
“Where’s my order?” answered in-thread, instantly, without sending anyone to a tracking page.
A check-in a few days in, then real answers to product questions for as long as they own the thing.
Birthdays and anniversaries banked in conversation — reminders that convert because the customer put them there.
Recipients, dates and tastes on file. Gifting becomes a subscription in spirit, without anyone subscribing.
Early access to a new collection for your best segments — conversational, not broadcast.
Recipient lists, budgets, card messages and delivery windows — collected at scale, validated as they arrive.
“We’ve missed you” as a conversation — predictive picks and a real reply, not a coupon blast.
Every play is a workflow — triggered by Journey Hub, a QR code, an email link, or a keyword. Authored in hours, not quarters.
Three ways to build — same engine, same rules
Claude, ChatGPT, Replit, Claude Code, or your own agent — connect with one URL + your key and, over MCP and the API, it can 100% control the platform. It reads the docs itself, learns your data, and builds — with validate-before-save so it builds correctly. A working rich-messaging solution in an afternoon; no GUI, no lessons, no manual.
Hundreds of endpoints, one wire format, UTC always. Forms are write endpoints; validation is identical to the Portal. An entire working pizza-shop tenant — schema, menu, five published workflows — was built by one program over this API. Zero clicks.
Prefer a screen? A drag-and-drop studio plus an AI Copilot draft it for you. Describe the process in plain words — or drop in a PDF — and the workflow appears, fully formed, ready to tweak and publish.
The visual builder — a workflow on the canvas: choices, splits, and loops
Before you point an AI at us
Nearly every agent that connects here reaches for a send endpoint first, because that is what “RCS” means everywhere else. It is the one assumption worth unlearning up front. The unit of work is a workflow: the questions, the branches, the captures and the validation. You author it, you publish it, and the published workflow runs on RCS, Apple Messages for Business, WhatsApp, the mobile runner, or by voice. send_message is for a one-off notification, not for building.
get_entity_dictionary, list_contexts, describe_relationships. Find out what this business already has before you model anything new.
upsert_workflow_tree, then validate_workflow_tree. Bind a context so [[ ]] tokens reach real data.
publish_workflow freezes the snapshot the runner executes. Then launch it on a channel, a link, a QR, mobile, or voice.
Stuck? docs_index maps the library, docs_search is free, and howto_search will synthesise a grounded build plan as a last resort. There are 366 tools behind your key, and playbooks of proven sequences it can follow step by step.
The /mcp handshake
Listrak Converse speaks the Model Context Protocol, so any MCP-capable assistant plugs in as a native tool source. It reads the docs itself, discovers the tools your key is allowed to use, and builds — everything role-gated by that key, nothing it can't do.
The whole integrator library is a tool call away — your AI pulls exactly what it needs.
Every definition is checked the same way the Portal checks it — with “did you mean” fixes — so nothing ships broken.
The key decides what the agent can touch; a tool it can't use returns a clear refusal, never a silent misfire.
You're never starting from scratch
Pre-baked, dress-rehearsed tool sequences for whole arcs — provision a tenant, model your data, author a workflow, set up dispatch, read the proof. Your AI lists them, runs them, and saves each success as a new recipe for next time.
Real, runnable source — a whole working pizza-shop tenant built over the public API — plus request/response examples pulled straight from the passing test suite. Your agent reads the sample, then writes yours.
The entire integrator library is readable through the same connector — so your AI looks up exactly what it needs the moment it needs it, instead of guessing. Docs-optional for you; docs-fluent for it.
End to end
Sync from your ERP, connect a Google Sheet, drop a CSV, or push over the API. Model it fresh if you're starting clean.
Describe it, drop a PDF, or drag it out. Context-aware steps, parallel paths, branching, loops, photos, signatures, payments.
One tap publishes over RCS, Apple Messages for Business, or WhatsApp — plus a mobile + web fallback for the rare gap.
Structured answers, photos, GPS, timestamps flow back — as data, a proof PDF, and a webhook to your systems.
Connect your data
We meet your data where it lives and hand results back — start with a job number and a webhook, or go all the way to near-real-time two-way sync. New connectors and partnerships land every week.
Start free
Spin up a free trial, connect your assistant to /mcp, and launch your first rich-messaging solution. No card, no install, no manual.