Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Action1 MCP
Overview
Description from the maker (original English)
Every Action1 endpoint, plus fleet-wide patch and vulnerability views across all your organizations.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
- You need to fill in: ACTION1_CLIENT_ID, ACTION1_CLIENT_SECRET, ACTION1_OAUTH2, ACTION1_MCP_HTTP_TOKEN
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
ACTION1_BASE_URL,ACTION1_CLIENT_ID,ACTION1_CLIENT_SECRET,ACTION1_OAUTH2,ACTION1_ORG_ID,ACTION1_NO_CONFIG_WRITE,ACTION1_MCP_READ_ONLY,ACTION1_NO_LOCAL_DATA,ACTION1_USER_AGENT,ACTION1_MCP_HTTP_TOKEN,PRINTING_PRESS_CLIENT_PROFILE
Values marked secret are keys to your account. Never share them or paste them into a chat.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Fill in the empty values before running it.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
Values you fill in
ACTION1_BASE_URLenvBase URL for the Action1 API. Leave the prefilled default unless your account uses a different regional or self-hosted host.- Set the ACTION1_CLIENT_ID credential for the Action1 MCP server.
- Set the ACTION1_CLIENT_SECRET credential for the Action1 MCP server.
- Pre-minted Action1 bearer token, used instead of ACTION1_CLIENT_ID + ACTION1_CLIENT_SECRET. Leave blank when you set the client ID and secret; the CLI mints and refreshes the token itself.
ACTION1_ORG_IDenvOrganization ID the fleet commands scope to by default (the --org flag overrides it). Leave blank to span every organization your credentials can see.ACTION1_NO_CONFIG_WRITEenvSet to 1 to keep credentials off disk. The token cache becomes a no-op, so the connector mints a fresh token each run instead of writing one to credentials.toml. Leave blank for the default cached be…ACTION1_MCP_READ_ONLYenvSet to 1 to make the MCP server refuse every write: only read tools are callable. Leave blank to allow writes (each MCP write still previews first and sends only when called again with confirm set to…ACTION1_NO_LOCAL_DATAenvOptional. Set to 1 to keep no local copy of API responses: reads go to the API and sync refuses to run. Leave blank to keep the local store.ACTION1_USER_AGENTenvOverrides the User-Agent the CLI sends on Action1 requests. Leave blank to use the CLI's built-in User-Agent.- Required only when running the MCP server with --transport http (a remote or hosted deployment); at least 32 characters. Callers must send a matching Authorization: Bearer header. Not needed for the…
PRINTING_PRESS_CLIENT_PROFILEenvBinds this MCP server to one tenant-gated client profile. Leave blank to use the profile configured as default_client_profile.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account servosity, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32509 servers in this category
- Published to the registry more recently than 99% of the other 32509 servers in this category
- Basic checks equal to or better than 100% of the other 32509 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Action1 MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
You need to fill in: ACTION1_CLIENT_ID, ACTION1_CLIENT_SECRET, ACTION1_OAUTH2, ACTION1_MCP_HTTP_TOKEN
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.11) reached the registry today.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Fomu MCP
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
Fomu MCP
by gabrielmahia
Kenya government form guides: checklists, draft letters, eCitizen, Huduma, timelines. Sample data.
Runs on your computerUpdated today
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Action1 + 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 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 (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 (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 (desktop app) | Run installer, then add action1-mcp in Settings > MCP servers as a local (STDIO) server. ChatGPT on the web is not supported yet. |
| 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. |
The ChatGPT desktop app runs action1-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote (HTTP) server, and this connector's HTTP mode is paused until it is reprinted (see the security note in mcp-install.md), so msp-skills does not support it 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.
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.
| Agent | What it takes |
|---|---|
| Microsoft 365 Copilot / Copilot Studio | Not supported by msp-skills yet: it needs a remote server. A hosted gateway is the better pick; check that your AI app is on the gateway's setup list. |
| Google Gemini | Gemini CLI is local - same as Claude Code. See mcp-install.md. The Gemini app needs a remote server and is not supported by msp-skills yet. |
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](../../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 | iexmacOS / 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 --versionUpgrade 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 | iexClaude 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, 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/action1 --forceInside a Hermes chat session:
/skills install servosity/msp-skills/skills/action1 --forceHermes 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 doctordoctor 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 |
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]
Only the beginning is shown; read the rest in the repo