Supabase
by supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Computer or cloud★ 2,993Apache-2.0Updated today
Install
KnowBe4 MCP
Overview
Description from the maker (original English)
Every KnowBe4 KMSAT reporting feature plus a local SQLite store that answers the cross-client
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: Databases & datasets
- You need to fill in: KNOWBE4_API_KEY, KNOWBE4_USER_EVENT_API_KEY, PRINTING_PRESS_CLIENT_PROFILE, KNOWBE4_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:
KNOWBE4_API_KEY,KNOWBE4_BASE_URL,KNOWBE4_REGION,KNOWBE4_USER_EVENT_API_KEY,KNOWBE4_USER_EVENT_BASE_URL,PRINTING_PRESS_CLIENT_PROFILE,KNOWBE4_MCP_READ_ONLY,KNOWBE4_NO_LOCAL_DATA,KNOWBE4_MCP_HTTP_TOKEN,KNOWBE4_USER_AGENT
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
- Set the KNOWBE4_API_KEY credential for the KnowBe4 MCP server.
KNOWBE4_BASE_URLenvFull API base URL. Leave blank: the CLI builds it from KNOWBE4_REGION. Set it only to point at a different host.KNOWBE4_REGIONenvYour tenant's KnowBe4 server: us, eu, ca, uk or de. Builds the API base URL; default us.- Optional. The separate User Event API key (KnowBe4 User Event API Management Console > API key), used only by the events commands to push custom risk events. Sent only to the User Event API host for…
KNOWBE4_USER_EVENT_BASE_URLenvOptional. Overrides the User Event API host the events commands use. Leave blank to use the host for your KNOWBE4_REGION.- Optional: binds the MCP server to an existing tenant-gated Printing Press client profile. Leave unset for a single-tenant install.
KNOWBE4_MCP_READ_ONLYenvOptional. Set to exactly 1 to expose only read-only tools and refuse any non-GET execute call. Preset to 1; clear it only when you want the agent to run the tools this switch hides.KNOWBE4_NO_LOCAL_DATAenvOptional. Set to 1 to keep no local copy of API responses: reads go to the API, the response cache is off, and sync refuses to run. Leave blank to keep the local store.- Required only when running the MCP server with --transport http. Not needed for the default local stdio transport.
KNOWBE4_USER_AGENTenvOverrides the User-Agent the CLI sends on KnowBe4 requests.
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 Databases & datasetsi
- More stars than 0% of the other 952 servers in this category
- Published to the registry more recently than 100% of the other 952 servers in this category
- Basic checks equal to or better than 100% of the other 952 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 KnowBe4 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: KNOWBE4_API_KEY, KNOWBE4_USER_EVENT_API_KEY, PRINTING_PRESS_CLIENT_PROFILE, KNOWBE4_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 (0.1.8) 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: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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
MongoDB MCP Server
by mongodb-js
MongoDB Model Context Protocol Server
Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
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Elasticsearch MCP Server
by cr7258
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Runs on your computer★ 315Apache-2.0Updated 14 months ago
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.
KnowBe4 + 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 KnowBe4
API. Not affiliated with, endorsed by, or sponsored by KnowBe4, Inc.
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Every KnowBe4 KMSAT reporting feature plus a local SQLite store that answers the cross-client questions the console can't - repeat-clicker hunts and training-coverage anti-joins. 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 read your data
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 KnowBe4 skill |
|---|---|
| Claude Desktop | Run installer, then Settings > Extensions to register knowbe4-mcp (no JSON editing). |
| ChatGPT (desktop app) | Run installer, then add knowbe4-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 knowbe4-mcp to mcp.json under the servers key, then pick Agent mode. |
The ChatGPT desktop app runs knowbe4-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 companionknowbe4-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 setKNOWBE4_CLI_PATHto an existing binary). Details: #331.
Download KnowBe4 MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every KnowBe4 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 knowbe4@msp-skills
Path A - paste one prompt into your AI agent (recommended)
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the KnowBe4 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/knowbe4/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/knowbe4/install.ps1 | iex. Then authenticate per the README and runknowbe4-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/knowbe4/install.ps1 | iexmacOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/knowbe4/install.sh)The installer drops both knowbe4-cli (the CLI) and knowbe4-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.
Verify:
knowbe4-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/knowbe4/install.sh)Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/knowbe4/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 knowbe4@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/knowbe4 --forceInside a Hermes chat session:
/skills install servosity/msp-skills/skills/knowbe4 --forceHermes speaks MCP natively, so it can also use the knowbe4-mcp server directly - same install path, same env vars.
Install for OpenClaw
Tell your OpenClaw agent (copy this):
Install the knowbe4 skill from https://github.com/servosity/msp-skills/tree/main/skills/knowbe4. The skill defines how its required CLI (
knowbe4-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 KnowBe4 portal):
KNOWBE4_API_KEY=<value> KNOWBE4_REGION=<value> knowbe4-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 |
|---|---|
| Who clicked the bait in more than one phishing test? | knowbe4-cli repeat-clickers --min-clicks 2 --since 90d |
| Who clicked a phish but never passed training? | knowbe4-cli untrained-clickers --since 180d |
| Whose risk score is getting worse this quarter? | knowbe4-cli risk-drift --window 90d --worsened --top 20 |
| Which active users have zero training or zero phishing coverage? | knowbe4-cli coverage-gaps |
| Is training actually working for the Finance group? | knowbe4-cli phish-prone-trend --group "Finance" --since 12mo |
| Who are my highest-risk users, with the why behind the score? | knowbe4-cli risk-leaderboard --top 25 |
| Which departments are driving our risk up? | knowbe4-cli group-risk-contribution --window 90d --top 10 |
| Assemble the full client quarterly review in one command | knowbe4-cli qbr --since 90d |
| Who never reports a simulated phish? | knowbe4-cli report-rate --bottom 25 |
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 KnowBe4 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 "who are my repeat clickers across all 40 client tenants this quarter" - a question no single KnowBe4 endpoint answers.
This skill syncs KnowBe4 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 repeat-clickers, untrained-clickers, and qbr join across phishing tests, training enrollments, and risk-score snapshots - work a stateless API wrapper can't do, because KnowBe4 keeps those records in separate reports.
The pain this closes
On r/msp the recurring KnowBe4 complaint is reporting, not the product: the KMSAT console answers one tenant, one phishing test, and one risk chart at a time, so any cross-client or cross-test question turns into a CSV export and a pivot table. The hardest gap is correlation - phishing results and training completion live in separate reports, so the most useful list a vCISO owns (clicked a phish, never finished training) doesn't exist in the portal. This skill closes that with untrained-clickers (the anti-join), repeat-clickers (the riskiest humans across every test), risk-drift (who is deteriorating), coverage-gaps (who your program silently misses), and qbr (the whole quarterly review in one command).
See pain-point.md for the longer narrative.
Frequently asked questions
Does this work with ChatGPT?
Yes, in the ChatGPT desktop app. It runs MCP servers locally (STDIO), the way knowbe4-mcp runs, and shares MCP configuration with Codex ([OpenAI](https
Only the beginning is shown; read the rest in the repo