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ARADIA-systems/aradia-mcp-server

ARADIA-systems/aradia-mcp-server

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.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add aradia-mcp-server -- npx -y aradia-mcp-server
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · ARADIA-systems/aradia-mcp-server · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 ARADIA-systems/aradia-mcp-server;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

ARADIA — Agentic Systems

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> **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.
来源
awesome · https://github.com/ARADIA-systems/aradia-mcp-server
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