Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

OctoWatch DLP

by extralabsversion 0.5.1i★ –iRuns on your computer
Registry nameio.github.extralabs/octowatch-mcp

Install

Overview

Description from the maker (original English)

Read-only OctoWatch DLP Cloud MCP: risks, idle time, productivity, monitoring.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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: Developer tools
  • You need to fill in: OCTOWATCH_PASSWORD

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: OCTOWATCH_API_BASE, OCTOWATCH_EMAIL, OCTOWATCH_PASSWORD, OCTOWATCH_TOOLSETS

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "octowatch": {
      "command": "uvx",
      "args": [
        "octowatch-mcp"
      ],
      "env": {
        "OCTOWATCH_API_BASE": "your-value",
        "OCTOWATCH_EMAIL": "your-value",
        "OCTOWATCH_PASSWORD": "your-value",
        "OCTOWATCH_TOOLSETS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add octowatch --env OCTOWATCH_API_BASE=your-value --env OCTOWATCH_EMAIL=your-value --env OCTOWATCH_PASSWORD=your-value --env OCTOWATCH_TOOLSETS=your-value -- uvx octowatch-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "octowatch": {
      "command": "uvx",
      "args": [
        "octowatch-mcp"
      ],
      "env": {
        "OCTOWATCH_API_BASE": "your-value",
        "OCTOWATCH_EMAIL": "your-value",
        "OCTOWATCH_PASSWORD": "your-value",
        "OCTOWATCH_TOOLSETS": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "octowatch": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "octowatch-mcp"
      ],
      "env": {
        "OCTOWATCH_API_BASE": "your-value",
        "OCTOWATCH_EMAIL": "your-value",
        "OCTOWATCH_PASSWORD": "your-value",
        "OCTOWATCH_TOOLSETS": "your-value"
      }
    }
  }
}

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

  • OCTOWATCH_API_BASE env
    Cloud API host (serverBase). Default: public cloud.
  • OCTOWATCH_EMAIL env
    Console operator email. Demo default works for try-out.
  • OCTOWATCH_PASSWORD secret env
    Console password. Use a least-privilege operator for real tenants.
  • OCTOWATCH_TOOLSETS env
    Tool filter: all | core | console (console includes core).

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account extralabs, 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 Developer toolsi

  • More stars than 0% of the other 1393 servers in this category
  • Published to the registry more recently than 46% of the other 1393 servers in this category
  • Basic checks equal to or better than 100% of the other 1393 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 OctoWatch DLP 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: OCTOWATCH_PASSWORD

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 (0.5.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare 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

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 15 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-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.

OctoWatch DLP MCP Server

PyPI package: octowatch-mcp · product: octowatchdlp.com (not related to other products named “OctoWatch”).

Read-only Model Context Protocol (MCP) server for [OctoWatch DLP Cloud](https://octowatchdlp.com/) employee monitoring and data-loss prevention — ask Cursor, Claude, or VS Code about risks, idle time, productivity, and monitoring in plain language.

Python MCP SDK v2 (MCPServer). Built for SecOps and managers — open-source companion to the OctoWatch console.

Contents: Status · Where to find us · Prerequisites · Example questions · Security · Limitations · Quick start · Your account · Tools · Configuration · Documentation · Contributing

Status

Alpha (v0.5.1). APIs and tool shapes may change; pin a PyPI version in production configs.

Tool failures return MCP is_error (ToolError). All tools advertise read_only_hint.

Where to find us

The MCP runs locally (no ExtrLabs-hosted MCP). Catalogs point at PyPI / GitHub; you supply Cloud login via env.

ChannelLink
PyPIoctowatch-mcp
Official MCP Registryio.github.extralabs/octowatch-mcp
GitHubextralabs/octowatch-mcp-server
Cursor MarketplacePlugin manifest .cursor-plugin — publish form (manual review)
DirectoriesGlama · mcpservers.org · mcpfind.org · mcpmarket.com · PulseMCP · awesome-mcp-servers#13003 (mcp.so skipped — paid)
cursor.directoryOpen Plugins: root .mcp.json + .cursor-plugin/plugin.json — re-submit after these are on main

Directory / Marketplace maintainer notes: docs/distribution.md.

Prerequisites

  • Python 3.10+
  • An MCP-capable host (Cursor, Claude Desktop, VS Code, …)
  • Network access to your Cloud API host (default https://cloud.octowatchdlp.com)

Example questions

  • “Which Risks in the last day?”
  • “Who was idle the longest yesterday?”
  • “Productivity summary for Accounting”
  • “Show Monitoring keystrokes for Emily”
  • “Find keyword invoice across monitoring last week”
  • “List users and groups”
Short scenarios
GoalAsk something like…
DLP / policy hits“Summarize risks for today by user and rule”
Idle time (not formal alerts)“Who was idle more than 2 hours yesterday?”
Top apps/sites“Top applications for group Accounting last 7 days”
Keyword hunt“Search monitoring for confidential last 30 days”
Directory“List users and groups, then show info for AliasID 4”

Security & privacy

Defaults use the public demo account.

Do not put production passwords in MCP config or git. Use env vars and a least-privilege console operator.

No writes, no screenshot/video binary downloads.

Monitoring responses can contain sensitive employee data (activity, keystrokes snippets, mail metadata). Treat tool output as confidential. Full policy: SECURITY.md.

Limitations

  • Read-only — not a full console replacement (Web Console)
  • No screenshot/video binary downloads (stream metadata only)
  • Not a mirror of product docs or the REST catalog — those stay at docs and /api/
  • Alpha — expect breaking changes between minors until 1.0

Quick start (PyPI)

Use the Install badges at the top of this README (Cursor / VS Code; demo credentials). First ensure the CLI is available:

pip install octowatch-mcp

Or configure manually — example for Cursor / Claude-style mcpServers (demo credentials):

{

"mcpServers": { "octowatch": { "command": "octowatch-mcp", "env": { "OCTOWATCH_API_BASE": "https://cloud.octowatchdlp.com", "OCTOWATCH_EMAIL": "demo@octowatchdlp.com", "OCTOWATCH_PASSWORD": "demo" } } } }

Ready-made files: examples/cursor-mcp-pypi.json, examples/claude-desktop-pypi.json. Per-host steps: docs/hosts.md.

Restart the host, then try: *“Using OctoWatch, who am I logged in as?”* or *“List risks for the last week.”*

Demo credentials work without a .env. Be gentle with the shared demo tenant (avoid aggressive agent loops).

From source
git clone https://github.com/extralabs/octowatch-mcp-server.git

cd octowatch-mcp-server python -m venv .venv

Windows: .venv\Scripts\activate

macOS/Linux: source .venv/bin/activate

pip install -e . cp .env.example .env # optional python -m octowatch_mcp

Use examples/cursor-mcp.json / examples/claude-desktop.json and set cwd to your clone (Windows: D:\\path\\to\\octowatch-mcp-server).

ChatGPT and other hosts

There is no single public ChatGPT JSON config we ship yet — ChatGPT / similar products often use remote MCP connectors rather than a local command stdio process.

  • For local desktop agents, prefer Cursor, Claude Desktop, or VS Code with the examples above.
  • If your host supports custom MCP over HTTP, you can run octowatch-mcp --transport streamable-http (localhost only by default) and register that endpoint per the host’s docs — see docs/hosts.md.

Your account (email / password)

OctoWatch Cloud still needs a console login. The MCP does not store passwords for you — the host passes them as process env.

ModeWhat to set
Demo (try-out)Defaults / Install badges: demo@octowatchdlp.com / demo
Your tenantYour least-privilege operator email + password in MCP env (or Cursor plugin Configure)
VariableMeaning
OCTOWATCH_EMAILConsole operator email
OCTOWATCH_PASSWORDConsole password (isSecret in Registry metadata)
OCTOWATCH_API_BASECloud API host if not the default public cloud

Recommended: put them in the MCP host JSON env block — examples/cursor-mcp-pypi-with-env.json / examples/claude-desktop-pypi-with-env.json. Cursor plugin variables: .cursor-plugin/plugin.json.

Alternatively, for a source install, copy .env.example → .env next to the process working directory.

Never commit real passwords. Verify the same data in the Web Console. Walkthrough: docs/hosts.md.

Core tools

ToolCloud areaNotes
octowatch_whoamiAuth sessionAccount / host (no password)
list_users_groupsDirectory treeType 0 root, 1 group, 2 user
list_risksRisks + AnalyticsDefault mode=summary
list_anomaliesAlertsFormal deviations (not idle)
get_idle_summaryProductivityRank by InactiveTime
get_activity_summaryActivityTop apps/sites
get_timesheetTimeSheetWorked vs expected hours
get_productivity_summaryProductivity + analyticsPer-user rollup
list_reportsReportsScheduled + processing tasks

Console coverage tools

ToolCloud areaNotes
get_analyticsAnalytics`view=overall\disciplina\activity\productivity`
get_dashboardDashboardWidgets; blobs stripped
get_chronoChronoTimeline
get_day_structureDay structurelist or detail
list_monitoringMonitoringOne kind; compact by default
search_monitoringTools → Searchfilter_key across kinds
get_activity_detailActivity windowDrill-down
list_onlineLivePresence only
list_stream_metaStreamMetadata only
list_directoryEdit Get\*users/groups/computers/…
get_user_infoUser cardAliasID / computer
get_account_readonlyAccount Get\*No Set\*/PIN
list_api_coverage(static)Gap summary

Full arguments, routing, and scenarios: docs/TOOLS.md. MCP prompts/resources: docs/MCP.md.

Configuration

EnvDefaultMeaning
OCTOWATCH_API_BASEhttps://cloud.octowatchdlp.comAPI host (serverBase)
OCTOWATCH_EMAILdemo@octowatchdlp.comConsole operator
OCTOWATCH_PASSWORDdemoDemo only by default
OCTOWATCH_DEFAULT_DAYS1Lookback when tools omit dates/period
OCTOWATCH_TOOLSETSallall \core \console (console includes core)
octowatch-mcp                                      # stdio (default)

octowatch-mcp --transport streamable-http # http://127.0.0.1:8000/mcp

Periods & filters

Prefer period=today|yesterday|last_7_days|last_30_days, or date_from / date_to.

-

Only the beginning is shown; read the rest in the repo

Ask PopNx