lusha

lusha is a plugin for Gemini CLI from lusha-oss/lusha-mcp-plugin. Its token cost is not measured, scanned A, original, MIT.

A connection between Lusha and Gemini for finding business contacts and company information in a terminal. Lusha is a business-data service that provides contact details, company facts, and buying signals.

In plain words
What is it for?
Use it to find contacts by role or company, retrieve work emails and phone numbers, and enrich leads with company size, technology, revenue, and buying-signal data.
Why use it?
It avoids manually searching for decision-makers and filling in missing company details. It can also support prospecting, lead qualification, and CRM enrichment.

Plugin for Gemini CLI

Written for Gemini CLI: a Gemini CLI extension manifest. Also seen: mentions Gemini CLI.

Good fit Use it to find contacts by role or company, retrieve work emails and phone numbers, and enrich leads with company size, technology, revenue, and buying-signal data.

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Install with agentmods
npx agentmods add plugins/lusha-oss/lusha-mcp-plugin/gemini-extension
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/lusha-oss/lusha-mcp-plugin

Made for: Gemini CLI.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lusha

README.md
[![agentmods](https://agentmods.dev/badge/plugins/lusha-oss/lusha-mcp-plugin/gemini-extension/github.svg)](https://agentmods.dev/plugins/lusha-oss/lusha-mcp-plugin/gemini-extension)
Your own site
<a href="https://agentmods.dev/plugins/lusha-oss/lusha-mcp-plugin/gemini-extension"><img src="https://agentmods.dev/badge/plugins/lusha-oss/lusha-mcp-plugin/gemini-extension/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for lusha

Your own site · 80×15
<a href="https://agentmods.dev/plugins/lusha-oss/lusha-mcp-plugin/gemini-extension"><img src="https://agentmods.dev/badge/plugins/lusha-oss/lusha-mcp-plugin/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

lusha scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

gemini-extension.json · 15 lines

What it actually says

{
  "name": "lusha",
  "version": "0.1.3",
  "description": "Connect Lusha to Gemini to pull verified B2B data, contact data, and company data — including verified emails, direct dials, mobile numbers, and real-time buying signals — straight into your terminal. Lusha is the B2B data layer behind 300M+ verified contacts, used for sales intelligence, prospecting, data enrichment, and lead enrichment across sales, marketing, and RevOps workflows. Backed by GDPR, CCPA, SOC 2 Type II, and ISO 27701 compliance. Perfect for building prospect lists, researching accounts before a call, qualifying inbound leads, and natural language prospecting inside Gemini CLI.\n\nUse Lusha to:\n- Find contacts and decision makers by role, company, industry, or seniority — \"Find 10 VPs of RevOps at Series B SaaS companies in NYC\"\n- Pull verified emails, direct dials, and mobile numbers with 98% email deliverability and 85% phone accuracy — \"Get the verified work email and mobile number for the Head of Marketing at Notion\"\n- Enrich CRM records and inbound leads with firmographics, technographics, headcount, revenue, and buying signals — \"Enrich these 25 webinar signup domains with industry, tech stack, and recent hiring signals\"\n- Track signals across target accounts — funding rounds, leadership hires, hiring surges, and tech stack changes — \"Show me the buying signals from the last 90 days for these 15 accounts\"\n- Find lookalike accounts based on your closed-won customers — \"Find 20 companies that look like these 5 customers\"",
  "mcpServers": {
    "lusha": {
      "httpUrl": "https://mcp.lusha.com/mcp/gemini",
      "headers": {
        "X-Lusha-Plugin": "gemini",
        "X-Lusha-Plugin-Version": "0.1.3"
      }
    }
  }
}
Files

What ships with it

1 file beside gemini-extension.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 15 lines scan A e3644e5416f9

Subscribe to this mod's changes

lusha is a plugin published in the GitHub repository lusha-oss/lusha-mcp-plugin (4 stars, last pushed 6d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-14.