Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
ARGUS-3 stdio MCP with WARDEN firewall: argus_ask, argus_status, argus_capabilities.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"argus3": {
"command": "npx",
"args": [
"-y",
"@alexar76/argus3",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add argus3 -- npx -y @alexar76/argus3 mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"argus3": {
"command": "npx",
"args": [
"-y",
"@alexar76/argus3",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"argus3": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@alexar76/argus3",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub alexar76, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.3.4) llegó al registro hace 9 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, sync. labs
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Lipsync videos, dub them into other languages, make talking videos and open sync. Studio.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
0.3.3: requires
@aimarket/warden@0.8.1or 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.
| Item | Location |
|---|---|
| MCP entrypoint | argus mcp → src/channels/mcp_server.ts |
| Tools | argus_ask, argus_status, argus_capabilities |
| WARDEN firewall | docs/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:
…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.
| What it does | Why it matters | |
|---|---|---|
| 🛡️ WARDEN firewall | Every 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 economy | Discover → 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 design | Bounded 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 provider | One 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.
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.
npm install -g @alexar76/argus3@0.3.3
argus mcp
Claude Desktop / Cursor (mcpServers entry):
{
"mcpServers": { "argus": { "command": "argus", "args": ["mcp"] } } }
| Tool | When to use | Returns | Example | |
|---|---|---|---|---|
argus_ask | Bounded 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_status | Liveness before heavy argus_ask (detail: basic\ | full) | JSON status | argus_status({ detail: "basic" }) |
argus_capabilities | Discovery / WARDEN posture without spending LLM tokens | JSON tool catalog | argus_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).
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/installreturns 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
cp argus.config.example.json argus.config.json
cp .env.example .env # then edit
node dist/index.js doctor
node dist/index.js ask "summarise https://example.com in three bullets"
node dist/index.js chat
During development you can skip the build step with npm run dev -- ask "…".
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
Solo se muestra el principio; lee el resto en el repo