ARADIA — Agentic Systems Official Model Context Protocol (MCP) Interface for Turnkey On-Premise Private Agentic AI Systems on Dedicated NVIDIA Hardware.** // Overview: Turnkey Private AI Agent Systems ARADIA deploys complete, turnkey **private AI agent systems** directly into client private networks.
claude mcp add aradia-mcp-server -- npx -y aradia-mcp-server
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Star count
1 ★ · ARADIA-systems/aradia-mcp-server · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 1 ★ · 7 sources · mcp
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repository ARADIA-systems/aradia-mcp-server;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
> **Official Model Context Protocol (MCP) Interface for Turnkey On-Premise Private Agentic AI Systems on Dedicated NVIDIA Hardware.** --- // 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.