Mazed

Mazed is a multimodal AI agent platform that automates customer service, onboarding, and business operations.

MCP Built by Lusha

What is Mazed?

Mazed is a multimodal AI agent platform — text, voice, vision, and realtime — for building, deploying, and monitoring agents that automate and augment customer experience and business operations. It's bring-any-LLM, connects to your knowledge bases and tools, and is MCP-native, with purpose-built templates for common CX and ops workflows. Teams use Mazed to handle live onboarding and support at scale, resolve inbound conversations end to end, and give every agent the context it needs to act.

Lusha and Mazed

Because Mazed is MCP-native, Lusha plugs in as a tool your agents call directly — verified B2B contact data, company intelligence, and buying signals available inside any agent, mid-conversation and in realtime. An agent can identify the company behind an inbound request, enrich a contact with a verified email or direct dial, and find the right decision-maker without a handoff. Together, Lusha and Mazed turn agents that answer questions into agents that know who they're talking to — with near-zero build, because the connector is already there.

How to connect Lusha and Mazed

Setup takes a few minutes: add the Lusha MCP server in your Mazed workspace, complete OAuth authentication, and confirm Lusha tools appear in your agent's tool list. Then give any agent access to the tools it needs. For step-by-step instructions and troubleshooting, see the Lusha MCP integration docs. Lusha MCP integration docs.

Common use cases

Inbound identification & routing

Identify the company behind an inbound conversation and route it with real context. Example: a visitor opens a chat, the Mazed agent enriches the company via Lusha, sees headcount and recent funding, and routes to enterprise support instead of self-serve.

Realtime enrichment during onboarding

Fill in what the customer didn't type. Example: during a voice onboarding call, the agent verifies the contact's role and company details through Lusha and writes them back to your CRM before the call ends.

Decision-maker lookup inside a live workflow

Find the right person without leaving the conversation. Example: a support agent recognizes an expansion opportunity, surfaces the economic buyer at that account through Lusha, and hands sales a contact with a verified direct dial.