{
  "markdown": "<!-- mcp-name: io.github.ARADIA-systems/sovereign-hardware -->\n\n# ARADIA — Agentic Systems\n\n> **Official Model Context Protocol (MCP) Interface for Turnkey On-Premise Private Agentic AI Systems on Dedicated NVIDIA Hardware.**\n\n[![smithery badge](https://smithery.ai/badge/admin-8zx9/agentic-systems)](https://smithery.ai/servers/admin-8zx9/agentic-systems)\n\n---\n\n## // Overview: Turnkey Private AI Agent Systems\n\nARADIA 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.\n\nWe 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.\n\nThis 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.\n\n---\n\n## // System Architecture: The Agentic Trinity\n\nEvery ARADIA appliance solves the three critical bottlenecks preventing enterprise AI ROI:\n\n1. **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).\n2. **Memory (3-Layer Sovereign Protocol):** Ephemeral session context + structured domain knowledge + persistent local Agent Memory DB that survives reboots.\n3. **Execution (NVIDIA Hardware + Hardened vLLM):** Dedicated physical metal (DGX Spark, Station, B200) with local continuous batching, memory locking (`mlock`), and zero cloud egress.\n\n---\n\n## // MCP Tools & Agentic Capabilities\n\nThis server exposes 4 production tools for autonomous AI agents and automated workflows:\n\n* `query_hardware_specs` — Query physical compute specs (128GB GB500 to 1536GB B200 Rack) and **concurrent active agent limits** (5 to 500 concurrent agents).\n* `calculate_roi` — Calculate CapEx payback timeline comparing an on-premise ARADIA Agentic System against compounding cloud LLM token taxes.\n* `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.\n* `execute_procurement_order` — Submit binding purchase orders for turnkey Agentic AI appliances settling crypto treasury (BTC, Lightning, USDT) or Stripe MPP Fiat.\n\n---\n\n## // Client Integration (Claude Desktop & Cursor)\n\n### Direct Remote Connection\nAdd the following to your `claude_desktop_config.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"aradia\": {\n      \"url\": \"https://aradia.com/api/a2a/mcp-endpoint.php\"\n    }\n  }\n}\n",
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  "sha": "4f76803ae119f03dc161168dea9ef341768f210621352ff3320f471d2544d7a8",
  "repo_slug": "aradia-systems/aradia-mcp-server",
  "fonte": "repo",
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  "api": "https://agentalog.com/api/listings/mcp_com_aradia_sovereign_hardware_a29bee14/readme"
}