Allows enriching B2B contacts and companies with verified contact details and buying signals from Lusha, with skills such as contact enrichment, prospecting, signal-based prospecting, and lookalike prospecting, directly from GitHub Copilot Chat.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Lusha MCP Plugin enrich contact for John Doe at Acme Corp"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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).
Skill | What it does |
| Look up any person and get their verified direct and mobile phone numbers, email, and company context |
| Describe your ICP in plain English — get a filtered, enriched lead list with phone numbers revealed |
| Start from a buying signal (funding, hiring surge, job change) and get the right decision makers' phones |
| Give Lusha 5+ reference companies or contacts — get a matched list enriched with phone numbers |
Related MCP server: Sales Prospector
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 |
|
| Skills activate from natural language requests |
Claude Code |
|
|
|
Cursor |
|
| Skills activate from natural language requests |
VS Code Copilot |
|
|
|
Gemini CLI |
|
| 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.
A Lusha account with API access
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
urlsource is used instead of alocalpath 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 overurlkeepsskills/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
/pluginsSelect 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.
/plugin marketplace add lusha-oss/lusha-mcp-plugin
/plugin install lushaCursor 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.
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.
Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P).
Run Chat: Install Plugin From Source.
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.
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-pluginThe 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.
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.
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
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).
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If you are the server author, to access and configure the admin panel.
Search companies, enrich contacts, and reveal emails and phones from your AI agent.
B2B lead generation, email verification, company enrichment, and agentic GTM Ops.
abm.dev — the account-based marketing API for AI agents: Search, Enrich, and Create across B2B.
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