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Audience: End users who have already connected the Lusha MCP and want to know how to get the most out of it in day-to-day use inside Claude, ChatGPT, or Codex. If you haven’t connected yet, or need the technical setup steps and requirements, see Lusha MCP Server.
Lusha is available as a native connector in leading AI platforms, including Claude, ChatGPT, and Codex. Connect once and access Lusha’s verified B2B contact and company data directly inside your AI conversations - no tab-switching or copy-paste required. Once the Lusha connector is active in your AI client, you can ask it to find contacts, enrich profiles, and build prospect tables - entirely in natural language. This article covers the end-user experience: what responses look like, how credits work inside the conversation, and how to get started immediately.

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Interactive contact and company cards (Claude)

In the Claude connector, contacts and companies no longer come back as plain text - they render as interactive cards. Each card supports one-click copy of contact details and a one-click pull of live signals (buying signals, hiring, headcount shifts, website traffic, LinkedIn activity intent, and more) so you can see why a lead is worth reaching out to without leaving the conversation. If you run out of credits while searching, you can top up directly from the card’s in-conversation purchase flow - no need to leave Claude to buy more credits.

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A starter prompt, built in

Connecting the Lusha MCP no longer drops you on a blank slate. The consent screen now carries a ready-to-use starter prompt you can copy in one click, so the moment you connect you already have a real example to run - find a person, verify they still work there, and pull their title and verified contact details in a single query. This ships across every MCP client we connect to, not just Claude.

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Tracking and managing your credits

MCP calls consume API credits from your Lusha plan. To check your balance before a session or after a long run:
1

Open Credit usage

Open Analytics → Credit usage in the Lusha dashboard.
2

Filter by API source

Filter by Source → API to see MCP-driven consumption.
If you run low during an active Claude conversation, the interactive card will prompt you to top up without leaving the chat.

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Connect Lusha now

Connect via Claude - click Add to Claude and complete OAuth authentication. Connect via ChatGPT - find Lusha in the app directory and click Connect. Connect via Codex - find Lusha in the Codex plugin directory and click Connect. Connect via Gong - in Gong, go to Settings → MCP connections, select Lusha, authenticate, and enable the tools you want for AI Briefer.

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Full setup guide and documentation

For complete connection instructions, available tool schemas, example prompts, plan requirements, and troubleshooting, visit the full documentation on the Lusha developer portal:
👉 MCP Server documentation on docs.lusha.com