Meet the Huntress MCP Server

Security data is only useful if you can get to it when you need it. For most partners and customers, that means logging into the Huntress portal, navigating to the right screen, and manually pulling what you're looking for, whether that's an incident report, an agent status, a billing count, or a client escalation. It gets the job done, but it takes time, and it assumes you know where to go.

To make life easier, we've been expanding the ways you can access Huntress data in the tools your team works in every day via our API and Webhooks for real-time notifications. And now, you have another option, one built for the age of AI: the Huntress MCP Server.

MCP stands for Model Context Protocol, an open standard that lets AI assistants like Claude and ChatGPT connect directly to external data sources and tools. Think of it as a structured way for your AI to securely talk to other systems.

Once you connect the Huntress MCP Server to your AI assistant, you can ask questions about your Huntress data in plain English. No portal navigation, no API calls, no writing queries. Just ask.

For example, you could ask: "Which organization in my account has had the most incident reports in the last 30 days?" and get back a ranked summary with incident counts by org, the kind of answer that would normally take several clicks and some manual work to piece together.

The Huntress MCP Server provides read-only access to your account data, including agents, organizations, incident reports, signals, escalations, remediations, invoices, reports, and external recon. Read-only means exactly what it sounds like: the AI can surface your data, but it can't make changes to your account, so there's no risk of an AI assistant inadvertently touching anything it shouldn't. Here are a few ways to put that to work.