Thank you for joining our Lusha MCP webinar! We received so many great questions about Claude integration that we’ve compiled this comprehensive FAQ to help everyone get the answers they need. From N8n compatibility and setup support to API limits and accuracy rates, we’re covering everything you asked about during our live session. Whether you’re wondering about ChatGPT support, credit usage, or how to get started with your team, this recap has you covered.
Thank you for joining us at our recent webinar on Lusha’s Model Context Protocol integration with Claude. We had an incredible turnout and some fantastic questions from the audience.
Since you asked so many great questions during the session, we thought we’d put together this comprehensive FAQ to make sure everyone gets the answers they need. Here’s a recap of everything we covered, plus the most common questions that came up during our Q&A.
Integration and compatibility
Q. Is Lusha MCP available on N8n?
A.Yes, Lusha’s API can be connected through webhooks to N8n flows, and Lusha MCP will be available for N8n in the upcoming months. This will enable powerful automation workflows that combine Claude’s natural language processing with N8n’s workflow capabilities.
Q. Can I connect this to webhooks in Google Firebase?
A. Not right now. Firebase integration will be possible once we launch the remote MCP server around mid-September.
Q. Will you support the setup process?
A. Absolutely. Our sales and support teams are available to assist with integration setup. You can also find detailed documentation at docs.lusha.com/mcp with step-by-step setup instructions.
Q. Can I use this on ChatGPT?
A. Only once remote MCP becomes available. Currently, Lusha MCP works with Claude Desktop, but we’re working on broader compatibility including ChatGPT support.
Usage, credits, and limits
Q. Are prompt requests limited through this API?
A. Yes, the same limits as your existing Lusha plan apply, based on your API rate limits. You can check your specific limits in your account dashboard or contact our sales team for details.
Q. Is there a limit on tokens between MCPs and LLMs?
A. Token limits depend on your Lusha plan. If you’re not sure about your specific limits, speak to our sales team who can review your account and recommend the best plan for your usage needs.
Q. How does MCP usage relate to Lusha’s credit system?
A. MCP uses the same credits as the regular Lusha API, so there’s no separate credit pool to manage. Every contact you find through Claude prompts counts against your existing API credit allocation.
Accuracy and data quality
Q. Is there a risk that Claude produces hallucinations while using Lusha’s API data?
A.No, Claude pulls contact information directly from our verified database without generating or modifying the data. The contact details you receive are exactly what exists in Lusha’s system, not AI-generated information.
Q. What’s the probability of getting correct contact details?
A. According to Lusha’s internal accuracy metrics, you can expect about 90% accuracy for contact details. This includes verified email addresses, phone numbers, and professional information.
Getting started and trials
Q. How do I start using Lusha MCP?
A. Getting started depends on your current Lusha plan. MCP is available for Sales Starter plans and above. If you’re already on a compatible plan, you can follow the setup instructions in our documentation. If you need to upgrade, contact our sales team.
Q. Can we get a demo or trial for our company?
A. Yes, we can arrange demos and trial periods for teams interested in testing Lusha MCP. This is especially helpful for larger organizations that want to evaluate the integration before rolling it out company-wide.
Q. How do we get this integrated and set up?
A. Integration documentation will be sent via email once you sign up or contact our sales team. The setup process typically takes about 10-15 minutes and involves connecting your Claude Desktop to Lusha’s MCP server.
Q. What’s the best way to contact sales?
A. Use the contact form on our website to reach our sales team. They can help with plan recommendations, demo scheduling, and technical questions about your specific use case.
Technical capabilities and limitations
Q. Can I give Claude a Sales Navigator URL and have it scrape contact details?- only public linkedin url
A. No, Lusha MCP doesn’t scrape Sales Navigator or other external websites. However, you can provide public LinkedIn URLs to Claude, and it will search for that person’s contact information within Lusha’s existing database of verified contacts.
Q. Is MCP also available for ChatGPT?
A. MCP for ChatGPT will be available once remote MCP functionality is released. Currently, the integration works with Claude Desktop, but we’re expanding compatibility to include other AI platforms.
Q. What AI models does Lusha MCP currently support?
A. Currently, Lusha MCP works with Claude Desktop. We’re working on broader compatibility with other AI platforms and expect to announce additional integrations in the coming months.
Best practices for using Lusha MCP
Q. How should I structure my prompts for best results?
A. Be specific about the criteria you’re looking for. Instead of “find sales people,” try “find sales directors at Series B SaaS companies in New York.” The more specific your prompt, the more targeted your results will be.
Q. What information should I include in my search prompts?
A. Include role titles, company size, industry, location, and technology stack when relevant. For example: “Find marketing directors at fintech companies with 200-500 employees that use Salesforce.”
Q. How can I verify the accuracy of results?
A. All results come from Lusha’s verified database, but you can cross-reference contact information with LinkedIn profiles or company websites if needed. Our 90% accuracy rate means most contacts will be current and correct.
Troubleshooting common issues
Q. What if Claude doesn’t return any results for my prompt?
A. Try broadening your search criteria. If you’re searching for very specific combinations, you might need to adjust location, company size, or role requirements to get results.
Q. Can I save or export the contacts I find through Claude?
A. Yes, you can copy the contact information from Claude and add it to your CRM or prospecting tools. The data format makes it easy to transfer to most sales systems.
Q. What if I hit my API rate limit?
A. If you reach your rate limit, you’ll need to wait for the limit to reset or contact our sales team about upgrading your plan for higher limits.
Future developments
Q. What new features are coming to Lusha MCP?
A. We’re working on expanded platform compatibility, enhanced search capabilities, and deeper integration with popular sales tools. Remote MCP server functionality is planned for mid-September.
Q. Will there be mobile support?
A. Mobile support will depend on the AI platform integrations. As Claude and other AI tools expand their mobile capabilities, Lusha MCP will likely become available on mobile devices.
Q. Are there plans for bulk operations?
A. Yes, we’re exploring bulk search and enrichment capabilities that would allow you to process larger lists of contacts through Claude prompts.
Ready to get started?
Lusha MCP changes how sales teams find and connect with prospects by combining Claude’s natural language processing with Lusha’s verified contact database. Whether you’re looking for specific decision-makers, enriching existing leads, or building targeted prospect lists, these integrations make prospecting faster and more accurate.
Next steps:
- Check if your current Lusha plan includes MCP access
- Review the setup documentation at docs.lusha.com/mcp
- Contact our sales team for demos or plan upgrades
- Start with simple prompts and gradually build more complex searches
Questions not covered here? Reach out to our support team or check our documentation for the most up-to-date information about Lusha MCP capabilities and compatibility.
This FAQ is updated regularly based on customer questions and new feature releases. For the latest information, visit our documentation or contact our support team.
