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FAQ

Getting Started
What is MCP?

The Model Context Protocol (MCP) is an open standard that lets AI apps use tools and data from other services. Deep Enrich MCP gives your AI app access to DeepEnrich search, enrichment, lists and tags.

Which AI apps can I use?

Claude, Claude Code, ChatGPT, Cursor, VS Code with GitHub Copilot, Gemini CLI, and any other app that supports remote MCP servers over Streamable HTTP with OAuth sign-in.

Which version of MCP does the server support?

The current MCP specification (2026-07-28) as well as the earlier 2025 revisions, so both new and existing AI apps connect without any change on your side.

Do I need an API key or coding skills?

No. You add one URL to your AI app and sign in with your DeepEnrich account. After that, you just chat.

Credits & Billing
How are credits charged?

The same as in the web app: 1 credit per revealed email and 5 per revealed mobile number, only when found. Searching, counting and managing lists and tags are free.

Can the AI spend my credits without asking?

Revealing contacts is marked as needing approval, so AI apps ask you to confirm the contacts and the cost first. Keep confirmation turned on for that tool in your app settings.

Security & Access
What can the AI see in my account?

Only what the tools expose: search results, revealed contacts, lists, tags, credit balance and search history. It acts with your permissions and can never do more than your account can.

How do I disconnect an app?

Remove the connector in your AI app, or disconnect it under Connect → MCP → Connected AI apps in the DeepEnrich dashboard. Access is revoked straight away.

Can my team use it?

Yes. Each team member connects with their own DeepEnrich login, so every action follows their own permissions.

Still have questions?

Email us and we'll help you get connected.

[email protected]