Huntress MCP

Huntress + AI - for Claude, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, and any agent that speaks MCP

Unofficial. Community-built Claude Code Skill and MCP server for the Huntress

API. Not affiliated with, endorsed by, or sponsored by Huntress Labs, Inc.

▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.

Every Huntress endpoint, plus a local SQLite mirror that delivers fleet-wide incident, coverage, and billing rollups the API and official MCP can't. Works with the AI you already use - ChatGPT (desktop app), Claude Desktop, Codex, Claude Code, Claude Cowork, and GitHub Copilot - plus Gemini CLI. Free, open source, runs on your laptop. Built for MSP owners. No code required.

Works with your agent

Security note. Local agents use the default stdio transport and need no

network listener. HTTP mode (--transport http, for remote agents) refuses to

start until HUNTRESS_MCP_HTTP_TOKEN is set, rejects any request without that

bearer token, serves http://127.0.0.1:7777/mcp by default, and needs --tls-cert

and --tls-key for any other address. It refuses a request body over 4 MiB or

one that takes longer than 30 seconds to arrive. Whoever holds the token can

call every tool with your Huntress credentials, including tools that change

your tenant, so treat it like a password, and set HUNTRESS_MCP_READ_ONLY=1 on

a remote host that only needs to read. See mcp-install.md.

The six agents MSP owners actually use (self-serve, works today):

The ChatGPT desktop app runs huntress-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote server, which msp-skills does not support yet. If your team works there, a hosted gateway is the better pick; check that your AI app is on the gateway's setup list. Setup steps: mcp-install.md.

Also for the Microsoft and Google stacks

Big install base, but an honest heads-up: Gemini CLI runs the local binary you just installed, while Microsoft 365 Copilot and the Gemini app need a remote server, which msp-skills does not support yet.

Skill-native agents (also covered): Hermes and OpenClaw read this skill's SKILL.md directly *and* speak MCP - see their install sections below. Also works with Cursor, Windsurf, Cline, Continue.dev, and Zed via MCP. Full per-tool wire-up: [docs/which-agent.md](../../docs/which-agent.md).

Run more than one agent? Install across all 51+ supported agents in one command: npx skills add Servosity/msp-skills@latest (requires Node.js, then run the per-skill installer for the CLI/MCP binaries). See docs/which-agent.md.

Install in 60 seconds

Fastest for Claude Desktop - one-click .mcpb

Claude Desktop bundle: the .mcpb launches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companion huntress-cli. Releases cut from 2026-09-18 on ship that CLI inside the bundle; older bundles contain only the MCP server, so if yours lacks the companion, run the Path A or Path B installer below first (or set HUNTRESS_CLI_PATH to an existing binary). Details: #331.

Download Huntress MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Huntress release on the releases page.)

Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:

/plugin marketplace add Servosity/msp-skills

/plugin install huntress@msp-skills

Path A - paste one prompt into your AI agent (recommended)

Copy this into Claude Code, Codex CLI, or Claude Cowork:

Install the Huntress Skill and MCP server from Servosity/msp-skills in this agent workspace. If this workspace uses a POSIX shell (macOS, Linux, WSL, or Bash), run bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/huntress/install.sh). If it uses Windows PowerShell, run iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/huntress/install.ps1 | iex. Then authenticate per the README and run huntress-cli --help to explore.

The same prompt works in any agent that can run shell.

Path B - run the installer yourself

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/huntress/install.ps1 | iex

macOS / Linux:

bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/huntress/install.sh)

The installer drops both huntress-cli (the CLI) and huntress-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.

Verify:

huntress-cli --version

Upgrade to the latest version

The installer always fetches the current release - re-run it to upgrade:

macOS / Linux:

bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/huntress/install.sh)

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/huntress/install.ps1 | iex

Claude Desktop .mcpb users: download the latest .mcpb (top of this section) and re-select it in Settings > Extensions. Claude Code plugin users: /plugin update huntress@msp-skills.

Add to Claude Desktop, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, or another MCP client

After the installer runs, see [mcp-install.md](./mcp-install.md) and [docs/which-agent.md](../../docs/which-agent.md) for the per-agent wire-up - one section per agent, including the GitHub Copilot servers key and the ChatGPT desktop app. Claude Desktop's Settings > Extensions panel is the simplest path; the MCP config block (for users who prefer editing JSON) is documented in mcp-install.md.

Install for Hermes

From the Hermes CLI:

hermes skills install servosity/msp-skills/skills/huntress --force

Inside a Hermes chat session:

/skills install servosity/msp-skills/skills/huntress --force

Hermes speaks MCP natively, so it can also use the huntress-mcp server directly - same install path, same env vars.

Install for OpenClaw

Tell your OpenClaw agent (copy this):

Install the huntress skill from https://github.com/servosity/msp-skills/tree/main/skills/huntress. The skill defines how its required CLI (huntress-cli) can be installed via the openclaw: frontmatter block.

OpenClaw isn't generally available yet; the frontmatter wiring is pre-shipped and will activate the moment OpenClaw launches.

Authenticate

Set the credentials the CLI needs (from your Huntress portal):

HUNTRESS_API_KEY=<value> HUNTRESS_API_SECRET=<value> huntress-cli doctor

doctor confirms the credentials work before you run anything that touches data. It exits 0 even when the credential is rejected, so scripts should add --fail-on error.

What this skill does

Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.

What makes this different

Most Huntress integrations and MCP servers proxy each question into a live API call. That's fine for one record. It dies at scale, when you're asking "which incident is oldest across all 40 of my client organizations right now?" or "did this attacker IP touch any other tenant?" - the portal answers one org at a time and the API offers no single query for it.

This skill syncs Huntress into a local SQLite mirror with full-text search. Aggregate questions become one local SQL join: instant, offline, and the AI sees the answer, not the raw data. Compound commands like fleet-incidents, blast-radius, and billing-reconcile join across incident reports, agents, external ports, and invoices from every organization at once - work a stateless API wrapper can't do.

The pain this closes

On r/msp, the recurring Huntress complaint from multi-tenant shops is that the dashboard has no native cross-client incident queue, no fleet-wide posture rollup, and no built-in reconciliation of invoiced seats against deployed agents. The API does list agents and incident reports across the whole account, but the incident list returns only the first 10 remediations per incident and the account-wide limit is 60 requests per minute. At 20, 40, 80 client tenants, "which fire do I put out first?" becomes a tab-switching exercise, and billing drift is caught by hand at month-end.

This skill closes that gap:

• One incident queue for every client - `huntress-cli fleet-incid