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ARADIA | sovereign & private agentic systems

On-prem Agentic AI on NVIDIA DGX. Query specs, model CapEx ROI, Purchase & join Partner Program.

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README

From the repo.

ARADIA — Agentic Systems

Official Model Context Protocol (MCP) Interface for Turnkey On-Premise Private Agentic AI Systems on Dedicated NVIDIA Hardware.

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// 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:

{
  "mcpServers": {
    "aradia": {
      "url": "https://aradia.com/api/a2a/mcp-endpoint.php"
    }
  }
}

Config for your environment

Use the endpoint URL below in your config. No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://aradia.com/api/a2a/mcp-endpoint.php"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.