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Lusha

Prospect, enrich, and build call-ready lead lists using Lusha's B2B intelligence platform — verified phone numbers, company signals, and lookalike targeting.

productivity
By Lusha
01Updated 1 day agoMIT

Installation

/plugin install lusha@claude-plugins-official

How to install

  1. Open Claude Code in your terminal
  2. Run the installation command above
  3. The plugin will be enabled automatically
  4. Use the plugin's features in your Claude Code sessions

Lusha MCP Plugin

Prospect, enrich, and build call-ready lead lists using Lusha's B2B intelligence platform — verified phone numbers, buying signals, and lookalike targeting, all from inside your AI assistant.

Supports Claude Code (Claude Code CLI / Cowork), VS Code Copilot (GitHub Copilot Chat with MCP), and Gemini CLI (extensions).

Skills

SkillWhat it does
enrich-contactLook up any person and get their verified direct and mobile phone numbers, email, and company context
prospectDescribe your ICP in plain English — get a filtered, enriched lead list with phone numbers revealed
signal-prospectStart from a buying signal (funding, hiring surge, job change) and get the right decision makers' phones
lookalike-prospectGive Lusha 5+ reference companies or contacts — get a matched list enriched with phone numbers

How it works

Each skill chains multiple Lusha API calls into a complete workflow. Every output surfaces verified phone numbers prominently — direct lines and mobile numbers are first-class outputs, not an afterthought.

All clients load the same skills/*/SKILL.md files and the same Lusha MCP server — only the per-client manifest and store endpoint differ:

ClientManifestMCP endpointHow to invoke
Claude Code.claude-plugin/plugin.jsonmcp.lusha.com/mcp/claude/enrich-contact, /prospect, etc.
VS Code Copilot.github/plugin/plugin.jsonmcp.lusha.com/mcp/copilot/enrich-contact, /prospect, etc.
Gemini CLIgemini-extension.jsonmcp.lusha.com/mcp/geminiGemini activates the matching skill on demand

Skills reference Lusha tools by their bare logical name (e.g. contacts_search), so a single skill source works identically across all clients. Gemini CLI auto-discovers the bundled skills/ directory as extension skills.

Prerequisites

  • A Lusha account with API access

Install

Claude Code (CLI / Cowork)

/plugin marketplace add lusha-oss/lusha-mcp-plugin
/plugin install lusha

VS Code Copilot

Requires a VS Code version with agent-plugin support and the GitHub Copilot extension. The plugin bundles the MCP server and all skills together via .github/plugin/plugin.json.

  1. Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P).
  2. Run Chat: Install Plugin From Source.
  3. Paste the repository name: lusha-oss/lusha-mcp-plugin.

The Lusha MCP server and the four skills load automatically. Invoke a skill from Copilot Chat with /enrich-contact, /prospect, /signal-prospect, or /lookalike-prospect.

Gemini CLI

The repo ships a gemini-extension.json manifest at its root, so Gemini CLI wires up the Lusha MCP server and discovers the bundled skills automatically.

gemini extensions install https://github.com/lusha-oss/lusha-mcp-plugin

The four skills are registered as extension skills — Gemini activates the matching one on demand (e.g. when you ask it to find a contact's phone number or build a prospect list). Run gemini skills list to confirm they loaded.

Authentication

The Lusha MCP server uses OAuth. The first time you invoke a Lusha skill or tool, you'll be prompted to sign in with your Lusha account. Subsequent calls reuse the authenticated session.

Skill chaining

Skills are designed to feed into each other:

  • prospectsignal-prospect: build a list, then filter it to companies showing buying signals
  • lookalike-prospectsignal-prospect: find lookalikes, then prioritize by signal
  • enrich-contactlookalike-prospect: enrich a single contact, then find similar people
View source on GitHub