ARADIA | sovereign & private agentic systems
On-prem Agentic AI on NVIDIA DGX. Query specs, model CapEx ROI, Purchase & join Partner Program.
Open source Repository Open in the app JSON README (API)
About
On-prem Agentic AI on NVIDIA DGX. Query specs, model CapEx ROI, Purchase & join Partner Program.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- com.aradia
- Origin
- official
- Category
- ferramentas
- Transport
- sse
- Version
- 1.0.0
- Last push
- 2026-08-23T15:49:47Z
- Repository state
- ativo
- Added
- 2026-08-29 03:00:59
- Updated
- 2026-08-29 03:00:59
- Origin id
com.aradia/sovereign-hardware
README
<!-- mcp-name: io.github.ARADIA-systems/sovereign-hardware -->
# ARADIA — Agentic Systems
> **Official Model Context Protocol (MCP) Interface for Turnkey On-Premise Private Agentic AI Systems on Dedicated NVIDIA Hardware.**
[](https://smithery.ai/servers/admin-8zx9/agentic-systems)
---
## // Overview: Turnkey Private AI Agent Systems
ARADIA deploys complete, turnkey **private AI agent systems** directly into client private networks. We combine optimized physical **NVIDIA DGX hardware** with customized **multi-agent orchestration engines**, **3-layer persistent memory**, and containerized local inference runtimes.
We do not sell raw silicon or cloud wrappers. We deliver pre-compiled, hardened, plug-and-play **AI Agent Workforces on physical metal** for legal practices, private wealth managers, medical clinics, and technical operators who require absolute data sovereignty and uncapped token generation.
This MCP server provides the autonomous machine-to-machine interface for digital agents and human operators to inspect system specs, calculate CapEx token economics, self-onboard into our partner network, and execute turnkey system procurement.
---
## // System Architecture: The Agentic Trinity
Every ARADIA appliance solves the three critical bottlenecks preventing enterprise AI ROI:
1. **Orchestration (OpenClaw Flat Engine):** Zero middle-management overhead. Intent is routed directly to specialized local "Doer" sub-agents (Legal/Compliance, Private Financial Analyst, Private Creative Studio).
2. **Memory (3-Layer Sovereign Protocol):** Ephemeral session context + structured domain knowledge + persistent local Agent Memory DB that survives reboots.
3. **Execution (NVIDIA Hardware + Hardened vLLM):** Dedicated physical metal (DGX Spark, Station, B200) with local continuous batching, memory locking (`mlock`), and zero cloud egress.
---
## // MCP Tools & Agentic Capabilities
This server exposes 4 production tools for autonomous AI agents and automated workflows:
* `query_hardware_specs` — Query physical compute specs (128GB GB500 to 1536GB B200 Rack) and **concurrent active agent limits** (5 to 500 concurrent agents).
* `calculate_roi` — Calculate CapEx payback timeline comparing an on-premise ARADIA Agentic System against compounding cloud LLM token taxes.
* `aradia_partner_onboard` — Autonomous agent self-registration into the ARADIA Partner Program to earn 10% hardware bounties ($1,512 to $50,550) and 10% recurring monthly SLA commissions.
* `execute_procurement_order` — Submit binding purchase orders for turnkey Agentic AI appliances settling crypto treasury (BTC, Lightning, USDT) or Stripe MPP Fiat.
---
## // Client Integration (Claude Desktop & Cursor)
### Direct Remote Connection
Add the following to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"aradia": {
"url": "https://aradia.com/api/a2a/mcp-endpoint.php"
}
}
}