Lusha MCP Plugin

Find and enrich B2B contacts and companies with verified emails, direct dials, mobile numbers, and real-time buying signals from Lusha — straight from inside your AI assistant.

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

Skills

Skill	What it does
enrich-contact	Look up any person and get their verified direct and mobile phone numbers, email, and company context
prospect	Describe your ICP in plain English — get a filtered, enriched lead list with phone numbers revealed
signal-prospect	Start from a buying signal (funding, hiring surge, job change) and get the right decision makers' phones
lookalike-prospect	Give 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:

Client	Manifest	MCP endpoint	How to invoke
Codex	.codex-plugin/plugin.json + mcp.json	mcp.lusha.com/mcp/codex	Skills activate from natural language requests
Claude Code	.claude-plugin/plugin.json	mcp.lusha.com/mcp/claude	/enrich-contact, /prospect, etc.
Cursor	.cursor-plugin/plugin.json	mcp.lusha.com/mcp/cursor	Skills activate from natural language requests
VS Code Copilot	.github/plugin/plugin.json	mcp.lusha.com/mcp/copilot	/enrich-contact, /prospect, etc.
Gemini CLI	gemini-extension.json	mcp.lusha.com/mcp/gemini	Gemini 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

Codex

The Codex plugin lives at the repo root — .codex-plugin/plugin.json (manifest) and mcp.json (MCP server), with skills: "./skills/" pointing at the shared root skills/. Codex discovers it through the repo marketplace catalog at .agents/plugins/marketplace.json, which uses a url source pinned to a branch/tag. That catalog is read only by Codex/OpenAI tooling — Claude, Copilot, and Gemini keep using their own provider-specific manifests.

A url source is used instead of a local path because Codex rejects a local plugin path that resolves to the repo root (codex#17066) and silently drops symlinks during install (codex#18863). Cloning the repo over url keeps skills/ as real files at the plugin root, so no copy or symlink is needed.

Add the marketplace and install:

codex plugin marketplace add lusha-oss/lusha-mcp-plugin
codex
/plugins

Select Lusha Plugins, install the Lusha plugin, then start a new Codex thread so the skills and MCP tools are loaded. The url source installs from the ref pinned in .agents/plugins/marketplace.json, so changes take effect once they land on that ref.

Claude Code (CLI / Cowork)

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

Cursor

Cursor reads the plugin manifest at .cursor-plugin/plugin.json and discovers the bundled skills/ automatically. Add the repo as a plugin marketplace, then install the Lusha plugin from .cursor-plugin/marketplace.json (catalog lusha-plugins, plugin lusha). The four skills activate from natural-language requests once the MCP server connects.

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:

• prospect → signal-prospect: build a list, then filter it to companies showing buying signals
• lookalike-prospect → signal-prospect: find lookalikes, then prioritize by signal
• enrich-contact → lookalike-prospect: enrich a single contact, then find similar people

Contributing

Root skills/ is the single source of truth — every client (Codex, Claude, Copilot, Gemini) reads these same files, so edit skills only under skills/.

When releasing, update the ref in .agents/plugins/marketplace.json to the branch or tag Codex users should install from (e.g. master for production, or a feature branch while testing).