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PopNx MCPMCP servers for people who use AI · explained in plain words

AtlaSent MCP Server

by AtlaSentversion 2.21.0i★ –iRuns on your computer
Registry nameio.github.AtlaSent/mcp-server

Install

Overview

Description from the maker (original English)

AtlaSent for AI agents: with an API key, actions wait for approval with signed proof. No key: demo.

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: Other
  • You need to fill in: ATLASENT_API_KEY

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: ATLASENT_API_KEY, ATLASENT_BASE_URL, ATLASENT_MODE

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

You need

  • npmNode.js installed (for the npx 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": {
    "atlasent": {
      "command": "npx",
      "args": [
        "-y",
        "@atlasent/mcp-server"
      ],
      "env": {
        "ATLASENT_API_KEY": "your-value",
        "ATLASENT_BASE_URL": "your-value",
        "ATLASENT_MODE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add atlasent --env ATLASENT_API_KEY=your-value --env ATLASENT_BASE_URL=your-value --env ATLASENT_MODE=your-value -- npx -y @atlasent/mcp-server

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": {
    "atlasent": {
      "command": "npx",
      "args": [
        "-y",
        "@atlasent/mcp-server"
      ],
      "env": {
        "ATLASENT_API_KEY": "your-value",
        "ATLASENT_BASE_URL": "your-value",
        "ATLASENT_MODE": "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": {
    "atlasent": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@atlasent/mcp-server"
      ],
      "env": {
        "ATLASENT_API_KEY": "your-value",
        "ATLASENT_BASE_URL": "your-value",
        "ATLASENT_MODE": "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

  • ATLASENT_API_KEY secret env
    AtlaSent API key: sign up free at console.atlasent.io and choose Connect an AI agent. Leave blank for the local demo mode.
  • ATLASENT_BASE_URL env
    AtlaSent API base URL. Defaults to the hosted SaaS endpoint.
  • ATLASENT_MODE env
    remote (default when an API key is set) or local (in-process rules engine, no API calls)

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 AtlaSent, 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 32706 servers in this category
  • Published to the registry more recently than 76% of the other 32706 servers in this category
  • Basic checks equal to or better than 100% of the other 32706 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 AtlaSent MCP Server 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: ATLASENT_API_KEY

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 (2.21.0) reached the registry 11 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)

Alternatives

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Remote Desktop Commander

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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.

@atlasent/mcp-server

MCP server that enforces authorize-before-execute for any MCP-compatible AI agent.

It is the developer entry point to AtlaSent AI Action Protection, which Enterprise teams adopt through a design partner program.

AtlaSent is security and organizational authority infrastructure for consequential actions by people, software, and AI.

This MCP server brings it to AI agents (Claude, Cursor, Windsurf, any MCP host). Before an agent's tool call changes a real system (a production deploy, a data export, an access grant), the agent asks AtlaSent first. With an API key (remote mode):

  1. Connect it to your agent with a few lines of config.
  2. Risky actions wait for a person to approve them. Everything else runs as normal.
  3. Every decision gets a signed record, including who approved it when the decision relied on an approval.

Try it in 60 seconds with no account: npx -y @atlasent/mcp-server (local mode, a demo that protects nothing).

Free, no account: paste your MCP server's tool list into AI Permission Check to see which tools could change real systems and who should approve them. It runs in your browser.

Local blocking is free. To actually block on your own machine without an account, use MCP Gate or the Claude Code agent guard. Both are part of the free Community plan. Hosted decisions, shared policies and approvals for a team are on the AtlaSent plans.

For engineers

AtlaSent performs execution-time authorization: determine whether a specific consequential Action is authorized now, issue a bounded Permit on allow, verify that Permit at the execution Gate, and only then allow the governed native effect.

A plausible request is not organizational authority.

This MCP server exposes AtlaSent authorization primitives to Model Context Protocol hosts and includes a protected deployment demo that proves the ordering end to end.

Which authority decided?

This repository ships two packages, and one of them has two modes. All three block tool calls. Only one of the three is evidence, and the difference is not a feature list — it is *who said yes*.

SurfaceWho decidedWhat it is
@atlasent/mcp-server local modea built-in heuristicnothing — a credential-free demo. Its terminal rule is allow, including for action types it does not recognise. Never rely on it as protection.
@atlasent/mcp-gate + policy.jsonyou, in advance, in a file you can editoperator configuration. Starts at {"default":"deny","rules":[]} and blocks everything until you write a rule. Runs with no account and no network.
@atlasent/mcp-gate cloud modeyour organization, at execution timean organizational permit — single-use, bound to that call, verifiable afterwards.

A rule you can silently edit is configuration. A permit your organization issued, that was consumed once and can be produced later, is authority. Both stop the call; only the second answers *"who authorized this?"* — which is the question that arrives after an incident, not before one.

The gate says which one decided, on every decision: no_matching_rule is your local policy, cloud_permit_consumed is an organizational permit. These reason strings are deliberately not normalised into a generic "blocked." Do not collapse them.

The two packages point in opposite directions, which is why they are separate: mcp-server exposes AtlaSent *as* MCP tools an agent calls to ask for authorization; mcp-gate sits *in front of* someone else's MCP server and intercepts.

The invariant

For an enforced protected path:

Action proposed

→ current organizational Authority + Policy + Context evaluated → Decision deny / hold / escalate → STOP allow → bounded Permit → Permit Verification at the execution Gate invalid / expired / replayed / mismatched / error → STOP verified → native effect may execute → execution/native-effect Evidence recorded where the integration supplies it

Evaluation is not execution. A positive Decision is not the Gate. Permit Verification happens before the protected side effect.

Quickstart: 60 seconds, no account

You don't need an AtlaSent account or API key to try this server. With no credentials set, it runs in local mode: an in-process rules engine that works offline.

One-click install (local mode, no account):

Add this to your MCP host config (Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, and others; per-host file locations are below):

{

"mcpServers": { "atlasent": { "command": "npx", "args": ["-y", "@atlasent/mcp-server"], "env": { "ATLASENT_MODE": "local" } } } }

Then ask your agent to *"deploy billing-api to production"*. The built-in rules deny it because it has no approvals. Ask again with an approval and it's allowed, and the server verifies the permit before the simulated deploy runs.

Built-in local rules (src/localEngine.ts):

SituationDecision
Production action with no approvalsdeny
Destructive action (delete, drop, purge, ...) outside a change windowhold
Sign / certify / grant / revoke / suspend / resume actionsdeny
Override / release / export / import / publish actionshold
Anything that passes the rulesallow → single-use permit, 5-minute TTL

Local permits are unsigned, so local mode is for development, CI, and trying things out. It's not a production enforcement boundary. The server refuses to fall back to local mode under NODE_ENV=production. When you're ready for signed permits, audit evidence, and your organization's own policies, switch to remote mode — get an API key.

Run from source
git clone https://github.com/AtlaSent/atlasent-mcp-server.git

cd atlasent-mcp-server npm install npm run build npm run demo # blocked deploy → approved + verified deploy → replay refused, fully offline

Run with Docker
docker build -t atlasent-mcp .

docker run -i --rm atlasent-mcp # local mode, stdio docker run -i --rm -e ATLASENT_API_KEY -e ATLASENT_BASE_URL atlasent-mcp # remote mode

Claude Code plugin: stop agents destroying production

packages/agent-hooks is a Claude Code plugin. Destructive and shipping commands wait for a person: DROP TABLE, terraform destroy, volume deletes, git push --force, production deploys. With nobody to ask, they are refused. Everything else runs as normal. Local, no account.

/plugin marketplace add AtlaSent/atlasent-mcp-server

/plugin install atlasent-guard@atlasent

"Someone at the keyboard said yes" is where it stops. The rest of this repository is the organizational version: an approver your organization named, and a permit you can prove afterwards.

Canon-backed Actions

AtlaSent does not treat every ad-hoc tool string as a new governed Action Type.

Use the Protected Action Canon for stable Action identity. Two important examples are:

production.deploy

agent.tool.invoke

For a generic AI tool invocation, use agent.tool.invoke as the public Canon-backed Action Type and carry tool-specific facts—tool name, target, environment, arguments/payload digest, resource state, and other required context—in the authorization context or binding fields supported by the selected integration path.

Use the read-only atlasent_lookup_action tool to discover Canon-backed Action Types instead of inventing a parallel taxonomy.

Authority is not Approval

Keep the concepts separate:

  • Authority — standing, scoped organizational right to cause a class of change.
  • Authorization — per-request determination whether this exact Action may proceed now.
  • Policy — versioned conditions applied to the determination.
  • Approval — verified input that may satisfy a Policy condition; not standing Authority and not the final Authorization result.
  • Decision — allow | deny | hold | escalate at the platform boundary.
  • Permit — bounded positive-Authorization artifact.
  • Verification — execution-boundary check of the Permit and applicable bindings.
  • Execution / native effect — what the underlying tool or system actually does.
  • Evidence / Proof — durable evidence of the authorization and, where observed, the effect/result.

A human Approval, favorable risk signal, policy match, deployment ticket, or workflow status does not by itself become organizational Authority.

Protected-tool demo

deploy_service is intentionally small. It demonstrates a two-layer protected path:

agent requests deploy_service

→ authorize internal agent-tool compatibility gate → verify outer Permit → authorize production.deploy → verify production.deploy Permit → simulated deployment effect

The internal outer gate uses the Canon-backed agent.tool.invoke Action (CANON-000026 / ACT-0029) — the same public identifier documented throughout the AtlaSent ecosystem as the canonical generic AI-agent tool invocation. It previously used a legacy, uncatalogued identity, model.agent.execute_tool, which had no corresponding action_classes provisioning path in the runtime (no seed/migration anywhere creates a row with that slug) — so against a real, unmodified Atlasent org the outer gate could only ever return NO_ACTION_CLASS deny, regardless of the tool-specific inner gate's own decision. Migrating the outer gate onto agent.tool.invoke gives it the runtime's real "AI Agent Safeguard" provisioning path, which already exists for exactly this purpose. See AtlaSent/atlasent-mcp-server#121 for the full investigation and decision record.

If either Decision is non-allow or either Permit fails Verification, no deployment result is produced.

The protected-tool response includes the action-specific Verification result alongside the simulated native result:

{

"decision": "allow", "permit_token": "...", "verification": { "outcome": "verified", "valid": true }, "result": { "status": "deployed", "service": "billing-api" } }

The returned Permit has already been consumed by the execution-boundary Verification. Verifying it again should be treated as a replay, not as a step required after deployment.

Human-in-the-loop demo: hold, approve, execute, record

`examples/hitl-demo.mjs

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

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