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How to Use the Lusha MCP in Claude Code

Pipe verified B2B lead data and direct phone numbers straight to your terminal using this MCP Server and Claude Code.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Code

Connect Lusha MCP to Claude Code

Create your Vinkius account to connect Lusha to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Run Claude Code lead generation pipelines

The `search_contacts` tool lets you run terminal-based lead generation pipelines without a GUI. Run a quick query, and the agent pulls filtered lists of decision-makers, piping the raw output directly into your terminal tools. You can chain these commands with standard bash utilities. It makes pulling fresh lead data as simple as running a curl command, but with the added intelligence of an agent handling the filtering.

Enrich raw datasets in headless environments

The `bulk_enrich` tool allows you to run automated dataset cleaning in headless environments. The MCP integration uses this tool to process lists of email addresses, updating job titles and phone numbers automatically on a schedule. Because it runs headlessly, you can schedule these scripts to run overnight. The agent can check your balance with `get_credits` first, ensuring your automated jobs never fail due to exhausted limits.

Look up corporate data via quick CLI prompts

The `find_company` tool fetches corporate data via quick CLI prompts. Ask the CLI to check a domain, and it outputs employee counts, industry categories, and HQ locations directly to your standard output. If you need a specific contact, the MCP tool calls `find_person` to grab their direct phone line and corporate email. It is the fastest way to get verified B2B intelligence without opening a browser.

Setup guide

Set up Lusha MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see lusha-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest Lusha transactions." It will automatically discover and invoke the available Lusha tools.

Terminal
claude mcp add --transport http lusha-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lusha MCP in Claude Code

Run the `claude mcp add` command in your terminal, specifying the HTTP transport URL provided by Vinkius. The CLI will automatically configure the connection in your local settings.
Yes. Since the agent output is text-based, you can ask it to format the results of `search_contacts` as JSON and pipe it directly into jq, grep, or local files.
You pass a LinkedIn profile URL to the CLI, and the agent runs `find_by_linkedin` to retrieve the direct contact details, printing them straight to your terminal.
Yes. The server runs over standard transport protocols, making it easy to deploy in headless environments for automated data enrichment tasks.
Yes. Vinkius secures the connection using ephemeral, token-authorized sandboxes. The retrieved personal emails and direct phone numbers flow directly to your secure terminal session without persistent remote storage.

Start using the Lusha MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for Lusha. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

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