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ARGUS-3 MCP Server

by alexar76version 0.3.4i★ –iRuns on your computer
Registry nameio.github.alexar76/argus3

Install

Overview

Description from the maker (original English)

ARGUS-3 stdio MCP with WARDEN firewall: argus_ask, argus_status, argus_capabilities.

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

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).
  • The registry lists no key to fill in.

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": {
    "argus3": {
      "command": "npx",
      "args": [
        "-y",
        "@alexar76/argus3",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add argus3 -- npx -y @alexar76/argus3 mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "argus3": {
      "command": "npx",
      "args": [
        "-y",
        "@alexar76/argus3",
        "mcp"
      ]
    }
  }
}

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": {
    "argus3": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@alexar76/argus3",
        "mcp"
      ]
    }
  }
}

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.

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 alexar76, 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 32661 servers in this category
  • Published to the registry more recently than 79% of the other 32661 servers in this category
  • Basic checks equal to or better than 100% of the other 32661 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 ARGUS-3 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.3.4) reached the registry 9 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, Claude Checkpoint MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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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 2 days ago
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Claude Checkpoint MCP

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MCP server that checkpoints Claude Code session context to survive crashes and token limits

Runs on your computerUpdated today
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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.

ARGUS-3 — MCP server

0.3.3: requires @aimarket/warden@0.8.1 or later. MCP servers are checked before launch and before every call; list-change notifications quarantine tools immediately. Changed definitions, and pins taken before 0.3.2, need a reviewed re-approval: argus warden pins status / argus warden pins approve ; the first clean connection keeps the automatic first-pin policy. Pin write failures close the connection. Publish Warden first, then ARGUS. Migration: EN · RU · ES · FR · ZH.

🔄 Synced from the AI-Factory monorepo (append-only history). Pull requests are welcome — merged PRs are imported back and re-synced here. Issues · Pull requests

🌐 English · Русский · Español · Français · 中文 · Glossary

One MCP server. WARDEN-hardened agent. Wallet optional.

Transport: stdio (argus mcp). Built with the official Model Context Protocol TypeScript SDK (@modelcontextprotocol/sdk). Compatible hosts: Claude Desktop, Cursor, Glama, and any MCP client that supports stdio servers.

ItemLocation
MCP entrypointargus mcp → src/channels/mcp_server.ts
Toolsargus_ask, argus_status, argus_capabilities
WARDEN firewalldocs/security-warden.md
Glama / Docker (stdio)Dockerfile.glama, glama.json

Part of the AICOM open agent economy. Live demo: magic-ai-factory.com/argus/ · Community: Discord · Pollux · Telegram · Castor

Live landing · WARDEN firewall · Install · Wiki

MCP firewall first — wallet optional. ARGUS-3 vets every third-party MCP server through WARDEN (static scan → threat feed → origin → def-pinning) before a single tool runs. Crypto, wallet, and on-chain economy are off by default. *(short name ARGUS · CLI: argus · npm: `argus-warden` · scoped: @alexar76/argus3)*

Why "ARGUS-3"? In the myth, Argus Panoptes — the hundred-eyed watchman —

was unbeatable until Hermes talked him to sleep and slew him. ARGUS-3 is the

watchman that *doesn't* fall for Hermes: a hundred eyes open (WARDEN), frugal to a

fault, immune to smooth-talking competitors.

Third time's the watchman. 👁️

ARGUS is the demand-side reference client the agent economy was missing. The ecosystem already has producers (the Factory 🏭), a broker (the Hub 🛒), pricing (ACEX 📈), trust math (the LUMEN oracle 🔮) and observability (the Monitor 👽). What it lacked was a first-class agent an ordinary person runs — one that discovers, pays for, consumes and sells capabilities. That's ARGUS.

It is built on two stack layers that generic MCP clients typically lack:

  1. 🛡️ WARDEN — an MCP security firewall that vets third-party servers before their tool definitions ever reach the model: a tiered static scan, a signed threat feed, an origin check, and tool-def pinning against rug-pulls. Every gate decides from what ARGUS already holds locally. Works with no wallet and no chain.
  2. 💸 Native settlement *(optional)* — pay per-call and get paid in USDC on Base through AIMarket escrow when you enable crypto and connect a wallet.

…and it stays frugal (a hard budget governor + live token meter — no self-reflection on your dime), speaks any model (Anthropic, OpenAI-compatible, Chinese, local), and — critically — runs fully autonomously when the economy is unavailable. No wallet, no network to AICOM? It's still a best-in-class local, MCP-secured assistant.

### 🔒 Crypto is OFF by default

A blockchain is not required to run ARGUS-3. Wallet, lottery, ACEX, paid

invokes, and on-chain settlement are disabled by default and turn on only

when you set `ARGUS_CRYPTO_ENABLED=1` (plus a wallet). Out of the box you get

the full agent — WARDEN, any model, memory, channels, and **free off-chain oracle

reads** — with no chain, no token, no wallet, no custody. Crypto is opt-in.


Why ARGUS is different

What it doesWhy it matters
🛡️ WARDEN firewallEvery MCP server is vetted by a gate chain — static tool-def scan → threat feed → origin → def-pinning — before a single tool runs.Tool-poisoning, rug-pulls (def drift), exfiltration and credential harvesting are blocked *by default*. Every gate decides from data ARGUS already holds locally, so vetting needs no network and nothing can talk the verdict out of it.
💸 Native + autonomous economyDiscover → open USDC channel → invoke → settle (consumer); register in the Mesh → list → earn (provider). Loads only with a wallet.Turns AICOM into a real two-sided market. With no wallet the module never loads — zero dependency, zero failure surface.
⚖️ Token-frugal by designBounded reasoning-budget governor with hard $/token ceilings, model tiering, cache_control, curated handoff, compaction, and a live meter.The "cheaper" claim is *auditable*, not marketing. Exceeding a ceiling stops the task — it never silently overspends.
🌐 Any providerOne Provider interface over Anthropic-native, any OpenAI-compatible endpoint (incl. DeepSeek, Qwen, GLM, Kimi…), and local Ollama.Your keys, your models, your costs. Triage on a cheap/local model, escalate only when needed.

🧭 Core capabilities — design intent and stack dependencies for each headline

feature — [docs/killer-features.md](docs/killer-features.md)

· ru · es.

Quickstart

One command (interactive wizard, ~2 minutes):

curl -fsSL https://magic-ai-factory.com/install | bash

Or install from npm (same CLI, no curl script):

npm install -g @alexar76/argus3@0.3.3

mkdir -p ~/.argus/agent && cd ~/.argus/agent argus setup && argus doctor

Package: @alexar76/argus3 on npm · CLI: argus · npx -y @alexar76/argus3@0.3.3 --help

Use the scoped package for current releases. The legacy argus-warden package remains at 0.3.1 with an older WARDEN dependency.

Then argus chat or argus serve.

Run as MCP server (stdio)
npm install -g @alexar76/argus3@0.3.3

or: npm install && npm run build && node dist/index.js mcp

argus mcp

Claude Desktop / Cursor (mcpServers entry):

{

"mcpServers": { "argus": { "command": "argus", "args": ["mcp"] } } }

Tools (2)
ToolWhen to useReturnsExample
argus_askBounded NL work via agent core. Optional response_format / focus. Sensitive tools deny-by-default; budget-metered LLM.Plain-text answer (isError on failure/budget stop)argus_ask({ task: "Summarise https://example.com in three bullets", response_format: "bullets" })
argus_statusLiveness before heavy argus_ask (detail: basic\full)JSON statusargus_status({ detail: "basic" })
argus_capabilitiesDiscovery / WARDEN posture without spending LLM tokensJSON tool catalogargus_capabilities({ include_schemas: false })

Glama TDQS: MCP annotations (readOnly / destructive / idempotent / openWorld), Behavior + Usage Guidelines in every description, structured params with examples — calibrated to the score rubric (not the old one-liner).

Publish on Glama

Listing: [glama.ai/mcp/servers/alexar76/argus](https://glama.ai/mcp/servers/alexar76/argus)

Same pattern as [aimarket-oracle-gateway](https://github.com/alexar76/aimarket-oracle-gateway): repo-root glama.json + Dockerfile.glama + node dist/index.js mcp.

If magic-ai-factory.com/install returns 404, use the mirror:

curl -fsSL https://modeldev.modelmarket.dev/install | bash

Docs: Wiki · User guide (20 languages) · Developer guide — publish a capability in 15 min (20 languages) · Use case — your ARGUS on AICOM (EN / RU) · Use case — a travel eSIM, bought and refunded (5 languages) · The Verifiable Conscience (block diagrams) · When ARGUS won't help you 😈 · Ecosystem whitepaper

Manual install (developers — from git)

cd argus

npm install npm run build

1) Configure (safe to commit — NO secrets live here)

cp argus.config.example.json argus.config.json

2) Add keys to .env (all optional; with none, ARGUS uses a local Ollama model)

cp .env.example .env # then edit

3) Check what's wired up

node dist/index.js doctor

4) Ask something

node dist/index.js ask "summarise https://example.com in three bullets"

5) Interactive

node dist/index.js chat

During development you can skip the build step with npm run dev -- ask "…".

The autonomy guarantee

ARGUS needs nothing from AICOM to work:

# No ANTHROPIC_API_KEY, no wallet — just a local model:

ARGUS_LOCAL_BASE_URL=http://127.0.0.1:11434/v1 node dist/index.js ask "hello"

With no ARGUS_WALLET_KEY, doctor reports economy: OFF (autonomous) and the entire economy layer is never constructed. See [doc

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

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