Lusha MCP

How to Install and Use Lusha MCP

If you want to bring powerful business contact and company data directly into your AI conversations, Lusha MCP is the right tool. It uses a large database to help you find, verify, and enrich information about prospects easily. Here’s how you can install and start using Lusha MCP step-by-step.

What You Need Before Installing Lusha MCP

Before you get started, make sure you have the basics in place. Lusha MCP requires a valid Lusha API key and a plan that includes enough credits to perform searches and enrich data. To get your API key, sign in to your Lusha account and look for the API section in your admin panel. Once you have your API key, you are ready to begin.

Setting Up Lusha MCP with Claude AI

For non-technical users or quick setups, integrating Lusha MCP with Claude AI is easy and requires just a few clicks.

First, open the Claude app and go to Settings → Connectors.
Next, click on Add custom connector.
Then paste the Lusha MCP URL: https://mcp.lusha.com.
Complete the authentication step, usually OAuth if configured.
After this, you will see Lusha MCP tools available in Claude’s tools menu during any chat.

You can now use commands like:
Find 10 marketing managers at SaaS companies in New York and enrich the top 5.

This setup is straightforward and works well for teams and quick pilots.

Setting Up Lusha MCP with ChatGPT

If you want to add Lusha MCP access to ChatGPT, your admin will need to configure it first. Here is how admins can do it:

1. Go to Settings in your ChatGPT workspace.
2. Click Manage Workspace and then Apps & Connectors.
3. Click Create to add a new connector.
4. Enable Development Mode to enter detailed settings.
5. Enter the details for the Lusha MCP connector:
   • Name: Lusha MCP
   • URL: https://mcp.lusha.com
   • Add your API key for authentication.
6. Click Create and then toggle the connector ON to activate it for your workspace.

After the admin enables it, users can turn on the Lusha Connector in their ChatGPT Settings → Apps & Connectors menu.

Example Code to Use Lusha MCP API

Once set up, you can use the following sample code to make requests and get enriched data:

import requests

url = "https://mcp.lusha.com/contacts_search"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
data = {
    "emails": ["[email protected]", "[email protected]"]
}

response = requests.post(url, json=data, headers=headers)
print(response.json())

This code will enrich contact information for the provided email addresses.

How to Use Lusha MCP Tools

Lusha MCP offers different tools depending on your needs. You can search and enrich contacts by email, LinkedIn URL, or name and company. You can also search for companies or do bulk processing with up to 100 records per request.

To get started safely, you should first call the prospecting_search_guide tool to learn how to optimize your searches. Then you can use filter tools to find valid search options without using credits. After that, run searches and enrich the results for detailed information.

Summary

Installing and using Lusha MCP is simple with these steps. Just get your API key, add the MCP as a connector in Claude or ChatGPT, and start running searches right away. Use the example code for direct API calls and take advantage of Lusha’s powerful data to enhance your AI workflows.