Everything customer service needs — in one stack
Four layers, fifteen products, one knowledge base. AI agents that resolve cases and answer the phone, a workspace where humans take over with full context, live operations on top — and all of it callable from your code over MCP and the REST API.
Four products carry the platform
The agents that resolve the case, the voice that picks up the phone, the supervisor that makes both better, and the API your own agents drive.
One stack, not four tools bolted together
One knowledge base
The AI answers from the same articles your team writes. Edit one, and the next answer — chat, email or phone — already reflects it.
One customer timeline
Every channel lands on the same thread, so a human taking over mid-case never has to ask the customer to repeat a thing.
One API surface
Everything the UI does, the REST API and MCP server do too — including configuring the agents, publishing knowledge and wiring webhooks.
The AI layer
The agents that do the work — routed by intent, grounded in your knowledge, guardrailed on every message, and measurably better each week.
One inbound message, classified and routed to the specialist that owns it — in under a second.
The human layer
Where your people work. Everything a human needs to take over mid-conversation without asking the customer to repeat a single thing.
The operations layer
Run the operation on numbers instead of vibes — live queues, honest metrics, rules that enforce themselves and a plan for the bad days.
The builder layer
Atender is headless-native. Everything the UI does, your code does — and your coding agents can drive it directly over MCP.
$ claude mcp add atender --transport http https://v3.atender.com/api/v1/mcpSee Atender in action
Book a personalized demo and see how AI-powered customer service with expert humans can transform your support operation.