Purpose
ARADIA MCP Server (aradia-mcp-server) is the official Model Context Protocol interface of the ARADIA private AI agent system, with the goal of delivering a turnkey local private AI agent system within a customer's private network. This repository is maintained by ARADIA-systems, and its positioning is to provide a machine-to-machine autonomous interface for digital agents and human operators, used to inspect system specifications, calculate CapEx token economics, autonomously complete partner registration, and execute system procurement.
According to the project description, ARADIA does not sell bare silicon or cloud packaging, but instead delivers precompiled, hardened, plug-and-play AI Agent Workforces, deployed on physical hardware, for law firms, private wealth management, medical clinics, and technical operators that need absolute data sovereignty and unlimited token generation.
Main Capabilities
System Architecture: Agentic Trinity
The project documentation states that each ARADIA device solves the three key bottlenecks hindering enterprise AI ROI:
- Orchestration (OpenClaw Flat Engine): no middle-management overhead, with intent routed directly to specialized local "Doer" sub-agents (legal/compliance, private financial analyst, private creative studio).
- Memory (3-Layer Sovereign Protocol): temporary session context + structured domain knowledge + persistent local Agent Memory DB, which survives across restarts.
- Execution (NVIDIA hardware + hardened vLLM): dedicated physical hardware (DGX Spark, Station, B200), supporting local continuous batching, memory locking (mlock), and zero cloud egress.
MCP Tools
The server provides 4 production tools for use by autonomous AI agents and automated workflows:
- query_hardware_specs: query physical compute specifications (128GB GB500 to 1536GB B200 Rack) and concurrent active agent limits (5 to 500 concurrent agents).
- calculate_roi: calculate the CapEx payback timeline, comparing a local ARADIA Agentic System with continuously accumulatingcloud LLM token costs.
- aradia_partner_onboard: autonomous agents self-register to join the ARADIA Partner Program to earn a 10% hardware bounty ($1,512 to $50,550) and a 10% monthly recurring SLA commission.
- execute_procurement_order: submit a binding turnkey Agentic AI device procurement order, supporting crypto asset settlement (BTC, Lightning, USDT) or Stripe MPP fiat.
How to Use
This repository provides client integration methods for both Claude Desktop and Cursor. The documentation lists "Direct Remote Connection" and explains that the corresponding configuration can be added to claude_desktop_config.json, but the specific configuration content is truncated in the provided materials, and a complete example is not yet available. The repository page guides users to participate in the development of ARADIA-systems/aradia-mcp-server by creating a GitHub account; the page includes conventional GitHub information such as folder and file lists and repository file navigation.
Applicable Scenarios
Intended for institutions that require absolute data sovereignty and do not want data to leave their private network, such as legal practices, private wealth management, medical clinics, and technology operators. These scenarios obtain private AI agent capabilities through a combination of local physical hardware + local inference runtime + persistent memory + multi-agent orchestration, and process token generation and business data locally.
Limitations and Not Yet Provided
- The provided materials do not give specific installation commands, dependency requirements, runtime environment versions, or complete deployment steps.
- The provided materials do not explain licensing, pricing, or trial methods.
- The provided materials do not explain the complete list of supported MCP clients, and only mention integration methods for Claude Desktop and Cursor.
- The specific configuration example for claude_desktop_config.json is truncated in the materials and is not yet provided.
- The provided materials do not explain specific terms for system operations requirements, maintenance cycles, or service level agreements.
