Skip to main content
MrAssistant AI helps teams ship multilingual voice and agent experiences for business-to-consumer use cases: self-serve help, guided flows, and handoffs to human teams when needed. These docs stay high level: how the product fits together, what to plan for on the voice side, and why many B2C teams adopt an MCP-style integration layer so assistants stay maintainable as you add channels and capabilities.

​
Get started

Quickstart

A simple mental model for going from idea to integrated experience.

MCP for B2C

Why a Model Context Protocol server matters for consumer-facing AI at scale.

Web and voice

How web, mobile, and realtime voice pieces fit together.

API reference

Technical reference generated from the public API description.

​
Build

Agents

What an agent represents and how you evolve it over time.

Knowledge and tools

Grounding content and extending behavior with controlled actions.

Voice and providers

Speech, language models, and provider choice at a glance.

Multilingual

Serving more than one language and locale with confidence.
For machine-readable API details, your team can use the published OpenAPI document linked from the site header when that fits your workflow.