
ARADIA | sovereign & private agentic systems
com.aradia由 aradia.com 发布官方发布者v1.0.0更新于 Nov 2, 2026
On-prem Agentic AI on NVIDIA DGX. Query specs, model CapEx ROI, Purchase & join Partner Program.
概览
ARADIA 本地部署 NVIDIA DGX AI 智能体一体机的远程 MCP 端点,可让助手查询规格、估算 ROI、加入合作伙伴计划并提交采购订单。
- 可以做什么
- 查询 ARADIA 一体机的硬件规格与并发智能体上限
- 计算本地部署相对云端 token 成本的 CapEx 回收周期
- 自主注册加入 ARADIA 合作伙伴计划,获取赏金与佣金
- 提交绑定式采购订单,以加密货币或 Stripe 法币结算
- 适用场景
- 仅在评估或购买 ARADIA 的本地私有 AI 智能体硬件,或需要让智能体注册为渠道伙伴、下单采购时使用。多数助手没有添加它的必要。
- 运行要求
- 需要访问 aradia.com 上的远程 SSE 端点;未声明本地安装包、环境变量或请求头。README 给出了指向厂商 MCP 端点地址的客户端配置示例。
安装
在 SourceWeft 中
- 打开 控制台中的 ARADIA | sovereign & private agentic systems,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 SSE。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.aradia%2Fsovereign-hardware/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"aradia-sovereign-private-agentic-systems": {
"type": "sse",
"url": "https://aradia.com/api/a2a/mcp-endpoint.php"
}
}
}README
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:
- 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).
- Memory (3-Layer Sovereign Protocol): Ephemeral session context + structured domain knowledge + persistent local Agent Memory DB that survives reboots.
- 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:
来源:README.md,提交 4aa2626
工具
0版本历史
1- v1.0.0最新Sep 16, 2026
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