ARADIA — Agentic Systems
MCP serverAI & modelsRun agentic AI on hardware at your own site with NVIDIA DGX. Once added, your AI can pull up system specifications, estimate the return on a hardware investment, and start a purchase or partner program application when you are ready to buy.
Use ARADIA — Agentic Systems in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add ARADIA — Agentic Systems and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use ARADIA to query hardware specs
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Details
Available today. Use it from your connected AI after setup.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Add the integration and ask your AI for DGX specifications or an investment estimate. When you are ready, it can start a purchase or a partner program application.
What your AI can do with it
- Look up NVIDIA DGX system specifications
- Estimate the return on investment for a hardware purchase
- Start a purchase of DGX hardware
- Apply to the partner program
- Plan running AI agents on your own premises
Install ARADIA — Agentic Systems
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user aradia-agentic-systems 'https://aradia.com/api/a2a/mcp-endpoint.php'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://aradia.com/api/a2a/mcp-endpoint.phpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=aradia-agentic-systems&config=eyJ1cmwiOiJodHRwczovL2FyYWRpYS5jb20vYXBpL2EyYS9tY3AtZW5kcG9pbnQucGhwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://aradia.com/api/a2a/mcp-endpoint.phpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add aradia-agentic-systems --url 'https://aradia.com/api/a2a/mcp-endpoint.php'Run it once, then sign in with codex mcp login aradia-agentic-systems if the server asks for an account.
From the project's README
As published by aradia-systems/aradia-mcp-server in README.md.
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:
- 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:
{
"mcpServers": {
"aradia": {
"url": "https://aradia.com/api/a2a/mcp-endpoint.php"
}
}
}
Tools it offers (6)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
query_hardware_specscalculate_roionboard_partnerexecute_procurement_ordertrack_order_statusquery_partner_stats
Signals
- GitHub stars
- 1
- Last commit
- Sep 2026
Advanced
- Delivery
- sovereign-hardware MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
com-aradia-sovereign-hardware- Source
- github.com/aradia-systems/aradia-mcp-server
- Hosted endpoint
https://aradia.com/api/a2a/mcp-endpoint.php
github.com/aradia-systems/aradia-mcp-server
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