Published by DomainIQ Team on May 15, 2026
Analysts already rely on AI-assisted terminals, editors, and investigation workflows. Now domainIQ can live there too.
Today we are introducing the domainIQ MCP Server - a new way to access domainIQ's reports, reverse lookup tools, monitoring actions, WHOIS history, and other research workflows from MCP-compatible clients like Claude Code, GitHub Copilot, and Cline.
The goal is simple: bring domainIQ data directly into the tools where analysts already think, ask questions, and make decisions.
Instead of dropping back to raw HTTP requests or building one-off scripts for every lookup, you can call domainIQ as a set of MCP tools with structured inputs and normalized results.
The new MCP layer wraps the existing domainIQ API and exposes it as MCP-native tools. That means you can:
The current release includes 40 explicit tools, plus a generic domainiq_api_call tool for approved public endpoints.
The MCP Server is not a separate data silo. It reuses the same domainIQ API surface, account permissions, and limit model that customers already know.
That gives you a cleaner workflow without changing your underlying access model:
In practice, that means less time translating API docs into custom scripts and more time actually investigating domains, infrastructure, and ownership signals.
The package supports both stdio and HTTP transports.
This makes the MCP Server useful both for individual analysts working locally and for teams that want a more centralized setup.
Domain intelligence is most useful when it is close to the analyst's workflow.
When domain reports, reverse lookups, and history tools are available directly inside an MCP-compatible client, you can:
The result is a workflow that feels more conversational and less mechanical, without giving up the depth of domainIQ's underlying data.
We created a dedicated MCP page with setup instructions, environment variables, client configuration examples, and an overview of the tool coverage.
If you are already using domainIQ through scripts or manual API calls, the MCP Server is the fastest way to bring that same intelligence into your AI-assisted workflow.