About Action1 MCP
Action1 MCP is a community-built CLI and MCP server for MSPs managing Action1. It combines API access with a local SQLite mirror to provide fleet-wide patch and vulnerability analysis across organizations.
Key features
- 01Local SQLite mirror with full-text search
- 02Cross-organization patch posture
- 03Severity- and KEV-weighted vulnerability triage
- 04Fleet-wide stale-agent and reboot views
- 05Organization scorecards and software rollups
Use cases
- 01Rank endpoints by missing patches across clients
- 02Find widespread or high-priority CVEs
- 03Identify agents that stopped checking in
- 04Review reboot queues after patching
MCP support
Exposes Action1 API capabilities to MCP clients through action1-mcp. The server also exposes the remote-session API; using it requires Remote Connect permission for the target endpoint's organization or group.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEAction1 + AI - for ChatGPT, Claude, GitHub Copilot, Microsoft 365 Copilot, Gemini, and any agent that speaks MCP
Unofficial. Community-built Claude Code Skill and MCP server for the Action1 API. Not affiliated with, endorsed by, or sponsored by Action1 Corporation.
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Every Action1 endpoint, plus fleet-wide patch and vulnerability views across all your organizations. Works with the AI you already use - ChatGPT (Plus/Pro+, paused until this connector is reprinted; see mcp-install.md), Claude Desktop, Codex, Claude Code, Claude Cowork, and GitHub Copilot - plus Microsoft 365 Copilot / Copilot Studio and Google Gemini via the remote path. Free, open source, runs on your laptop. Built for MSP owners. No code required.
Works with your agent
Security note (until this connector is reprinted). Do not run HTTP mode (
--transport http), not even on localhost. This build has no password, listens on every network interface, and predates the browser-rebinding guard, so a web page you open can reach it. The MCP tools can also make changes with your credentials. Use the default stdio transport. If you set up a tunnel for a remote agent, shut it down. A fix is on the way.
The six agents MSP owners actually use (self-serve, works today):
| Your AI agent | How to install the Action1 skill |
|---|---|
| Claude Desktop | Run installer, then Settings > Extensions to register action1-mcp (no JSON editing). |
| ChatGPT (paid plans) | Paused until this connector is reprinted: ChatGPT needs its HTTP mode, and in this build that mode asks for no password, listens on every network interface, and can be reached by a web page you open. See the security note in mcp-install.md. |
| Codex CLI | Paste the install prompt below. |
| Claude Code | Paste the install prompt below. |
| Claude Cowork | Paste the install prompt below. |
| GitHub Copilot (VS Code) | Run installer, add action1-mcp to mcp.json under the servers key, then pick Agent mode. |
ChatGPT needs a remote HTTPS server, which means this connector's HTTP mode, and that is paused until the connector is reprinted: in this build that mode asks for no password, listens on every network interface, and can be reached by a web page you open. See the security note in mcp-install.md.
Also for the Microsoft and Google stacks
Big install base, but an honest heads-up: these are the remote / enterprise path, not the local binary you just installed.
| Agent | What it takes |
|---|---|
| Microsoft 365 Copilot / Copilot Studio | Paused until this connector is reprinted: Copilot Studio needs its HTTP mode, and in this build that mode asks for no password, listens on every network interface, and can be reached by a web page you open. See the security note in mcp-install.md. |
| Google Gemini | Gemini CLI is local - same as Claude Code. The Gemini app is remote and needs the same paused HTTP mode as ChatGPT. See mcp-install.md. |
Skill-native agents (also covered): Hermes and OpenClaw read this skill's
SKILL.mddirectly 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.
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
.mcpblaunches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companionaction1-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 setACTION1_CLI_PATHto an existing binary). Details: #331.
Download Action1 MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Action1 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 action1@msp-skills
Path A - paste one prompt into your AI agent (recommended)
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the Action1 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/action1/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/action1/install.ps1 | iex. Then authenticate per the README and runaction1-cli --helpto 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/action1/install.ps1 | iex
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/action1/install.sh)
The installer drops both action1-cli (the CLI) and action1-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.
Verify:
action1-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/action1/install.sh)
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/action1/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 action1@msp-skills.
Add to Claude Desktop, GitHub Copilot, Gemini CLI, Microsoft 365 Copilot, or another MCP client
After the installer runs, see mcp-install.md and docs/which-agent.md for the per-agent wire-up - one section per agent, including the GitHub Copilot servers key and the remote Microsoft 365 Copilot / Copilot Studio path. 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/action1 --force
Inside a Hermes chat session:
/skills install servosity/msp-skills/skills/action1 --force
Hermes speaks MCP natively, so it can also use the action1-mcp server directly - same install path, same env vars.
Install for OpenClaw
Tell your OpenClaw agent (copy this):
Install the action1 skill from https://github.com/servosity/msp-skills/tree/main/skills/action1. The skill defines how its required CLI (
action1-cli) can be installed via theopenclaw: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 Action1 portal):
ACTION1_CLIENT_ID=<value> ACTION1_CLIENT_SECRET=<value> ACTION1_REGION=<value> action1-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
| Question your MSP keeps asking | Command |
|---|---|
| Which endpoints across all clients are missing the most patches? | action1-cli fleet patch-posture |
| Which CVEs hit the most machines, severity- and KEV-weighted? | action1-cli fleet vuln-triage --kev-only |
| Which agents have stopped checking in across the fleet? | action1-cli fleet stale --days 14 |
| What is the patch-and-vulnerability posture per client organization? | action1-cli fleet org-scorecard |
| Which endpoints are waiting on a reboot to finish a patch cycle? | action1-cli fleet reboot-pending |
| Rank every endpoint by overall risk (updates, CVEs, reboot, staleness) | action1-cli fleet health-score |
| What software is installed across the whole fleet, deduped by version? | action1-cli fleet software-rollup |
| List the managed endpoints in one client organization | action1-cli endpoints managed <orgId> |
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 Action1 integrations and MCP servers proxy each question into a live API call, one organization at a time. That's fine for one record. It dies at scale, when you're asking "which endpoint across all 40 of my clients is most behind on patches, and which CVE is on the most machines this quarter" - questions the org-siloed API cannot answer in a single call.
This skill syncs every organization into a local SQLite mirror with full-text search. Aggregate questions become one local query: instant, offline, and the AI sees the answer, not the raw data. Cross-org rollups like fleet patch-posture, fleet vuln-triage, and fleet org-scorecard join across every organization's endpoints, updates, and vulnerabilities at once - work a stateless API wrapper can't do.
The pain this closes
Patch-management threads on r/msp keep surfacing the same gap with multi-tenant patch tools: the console is organized one client organization at a time, but the questions an MSP owner has to answer are fleet-wide - "which endpoints are most behind?", "which CVE is everywhere?", "what posture number goes in this client's QBR?" In Action1 that means switching organizations one by one, or exporting per-org and merging spreadsheets. The data is there per client; it just doesn't roll up across every organization in one view.
This skill closes that gap:
action1-cli fleet patch-posture- every endpoint, all orgs, ranked by missing updates.action1-cli fleet vuln-triage --kev-only- CVEs ranked by blast radius (CVSS + CISA KEV).action1-cli fleet org-scorecard- one posture row per client organization, the QBR number in a line.action1-cli fleet stale --days 14- dark agents across every org, before they fall out of coverage.action1-cli fleet reboot-pending- the fleet-wide action queue that closes out a patch cycle.
See pain-point.md for the longer narrative.
Remote desktop through the MCP server
The MCP already exposes Action1's remote-session API. The API credential needs Remote Connect on the target endpoint's organization or endpoint group; permission to run scripts does not imply permission to connect to a desktop. An authorized administrator can add Remote Connect to the credential's existing role with the intended scope. A 403 is an access denial, not a missing MCP tool.
For code-orchestration clients:
-
Call
action1_searchwithstart remote session. -
Call
action1_executewith endpoint IDendpoints.managed-id-remote-sessions-postand these params:{"orgId":"<organization-id>","endpointId":"<endpoint-id>","connection_type":"assistance"} -
Take the returned
idand callendpoints.managed-id-remote-sessions-session-id-getwithorgId,endpointId, andsessionId. Poll with a bounded wait, for example every five seconds for up to one minute, stopping on an API error. A timeout means the connection was not verified; do not automatically create another session. -
Once
connectedisyes, open the returnedremote_sessionURL in a browser. Verify that the intended endpoint's desktop is visible before interacting. Keep this connection URL private.
The equivalent start command is:
action1-cli endpoints managed-id-remote-sessions-post <orgId> <endpointId> --connection-type assistance --json
The API currently supports assistance as the connection type. Starting the
session does not itself automate desktop input; use the browser or your agent's
authorized computer-use tools for the interactive part. See the
Action1 remote-session API
and API credential roles.
Software installer packages through the MCP server
The MCP already exposes Software Repository package and version reads and updates. API-key authorization is separate from browser/Entra SSO. A console sign-in failure does not establish that the package API is unavailable.
orgIdis a scope selector. An organization ID requests that organization's view;allrequests Enterprise scope. Some Enterprise-shared packages are readable through an organization view, but this does not prove Enterprise write access. Useallfor Enterprise-shared package updates.- Reads require View Software Repository in the requested scope. Updates
require Manage Software Repository in the package scope; it implicitly
includes View. For version PATCH,
approval_statusinstead requires Approve Updates, andEULA_acceptedrequires the API'saccept_eulapermission. Script actions also require the appropriate Use Scripts scope. Built-in package versions cannot be modified. An administrator can extend the credential's existing role when authorized; HTTP 403 is a permission/scope denial, not a missing MCP endpoint. versionIdis the version object'sid, not its displayedversion. For example,id: "21.07.00.0_1640795090369"andversion: "21.07.00.0"identify different fields. Always discover current IDs instead of guessing them.
For code-orchestration clients:
-
Call
action1_searchwithinstallerto find the package and version tools. -
Call
action1_executewith endpoint IDsoftware-repository.packages-all-package-id-getand these params:{"orgId":"<organization-id-or-all>","packageId":"<package-id>","fields":"versions"} -
Take the selected object's
versions[].id. Read its configuration usingsoftware-repository.versions.packages-all-package-id-id-getwithorgId,packageId, and thatversionId. -
Preserve the existing configuration and prepare the smallest authorized update. Package metadata uses
software-repository.packages-all-package-id-patch; installer deployment configuration usessoftware-repository.versions.packages-all-package-id-id-patch. Pass the same identifiers plus only the edited, writable version properties toaction1_execute. Put those properties directly inparams, for example:{"orgId":"<organization-id-or-all>","packageId":"<package-id>","versionId":"<returned-version-id>","silent_install_switches":"<reviewed silent-install switches>"}Use the Windows or Mac version PATCH schema in the vendor API reference for field names and types. Do not replay the entire GET response or nest the properties under
body-json. That flag belongs to the equivalent CLI command, which accepts the update object via--body-jsonor--stdin. -
Read back the package/version after updating. A successful write does not prove installation or deployment on an endpoint.
See extended package data and repository permissions.
Frequently asked questions
Does this work with ChatGPT?
Not with this build. ChatGPT (Plus, Pro, Team, Business, Enterprise, and Education plans; Free does not yet expose Developer Mode) connects only to remote MCP servers over HTTPS, which means running the Action1 MCP server in HTTP mode. In this build HTTP mode asks for no password, listens on every network interface, and can be reached by a web page you open, so do not run it or put it behind a tunnel until the connector is reprinted; the security note in mcp-install.md explains why. Until then, use Claude Desktop, Claude Code or Codex.
Does this work with Codex, Cursor, Windsurf, Cline, Copilot, or Gemini?
Yes - all of them speak MCP. Cross-tool install commands are in the matrix above and the deep-dive in docs/which-agent.md.
Do I need to know how to code?
No. The recommended install is to paste one sentence into Claude Code or Codex - your agent reads SKILL.md and does the install. The fallback is a one-line installer per OS (bash or PowerShell). Neither path requires writing code. You'll enter your Action1 credentials once.
Is my Action1 data safe?
Your data stays on your machine. The CLI and MCP server are local binaries. The SQLite mirror sits in a directory under your user account. The AI agent only sees what the CLI returns - typically a query result, not raw bulk data. Credentials are read from your environment or your agent's config; never bundled into this repo or transmitted anywhere by MSP Skills.
Which Action1 region and credentials do I need?
An API client (Client ID + Client Secret) from your Action1 console's API Credentials page, plus ACTION1_REGION set to us, eu, or au to match your console URL. The CLI POSTs them to /oauth2/token and mints and refreshes the bearer token for you. Scope the client to read-only permission templates if you only need reporting - see governance.md.
Does this replace the Action1 console?
No. The console stays your place to configure automations and approve patches interactively. This skill answers the cross-organization questions the console shows one org at a time - fleet patch posture, CVE blast-radius, per-client scorecards - and lets your AI agent run them from the terminal.
What does it cost?
Free. Apache-2.0 licensed. You pay only for whichever AI agent you use (Claude, ChatGPT, Codex, etc.), and that's billed by your AI provider, not by us.
Safety model
| Tier | Examples | Recommended agent policy |
|---|---|---|
| Read | fleet patch-posture, fleet vuln-triage, endpoints managed <orgId>, search, export, doctor | Allow |
| Write (routine) | endpoints groups, endpoints managed-id-patch, settings org-id-post, automations policies-schedules-org-id-post, import | Preview with --dry-run, then a reviewed write |
| Endpoint / patch execution | automations policies-instances-org-id-post (run an automation), updates approvals updates-org-id, endpoints managed-id-remote-sessions-post, scripts org-id-post | Human-in-the-loop; never unattended |
| Credential / security | oauth2 (mints a token), users post, roles post, roles id-patch | Human-in-the-loop only |
| Destructive / account | endpoints managed-id-delete, organizations org-id-delete, users id-delete, enterprise request-closure | Human-in-the-loop only, explicit confirmation |
The strongest control is the scope you grant the Action1 credentials - the CLI can only do what the credentials are permitted to do. Full details, including how to lock it down, are in governance.md.
Status
Beta. Validated against the Action1 API surface and being validated with MSPs running it live against their own production tenant in our weekly Build Sessions. RSVP at compoundingteams.com/build-sessions.
Standards. Conforms to the open Agent Skills spec (Anthropic, Dec 2025; 40+ agents). MCP-compatible - works with any MCP-capable agent including Hermes. OpenClaw-ready (frontmatter pre-wired, awaiting OpenClaw launch).
Maintained by Servosity. Apache-2.0 licensed. Built with CLI Printing Press. Last updated: 2026-06-06.
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.