A
licenseA
qualityA
maintenanceZero-quota GPU orchestration MCP server — lets AI agents discover, provision, and manage GPU compute across multi-datacenter partner nodes (H100/H200/B200) through a single control plane.
1
74 npm
MIT
aradia-mcp-server
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TDQS
A4.5/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose, and the descriptions explicitly state when to use each tool versus alternatives. Cross-references (e.g., 'use query_hardware_specs' vs. 'use execute_procurement_order') make selection unambiguous.
Naming Consistency5/5
All tools follow a consistent snake_case verb_noun pattern: query_partner_stats, track_order_status, calculate_roi, execute_procurement_order, onboard_partner, query_hardware_specs. No mixed conventions or vague verbs.
Tool Count5/5
Six tools is well-scoped for a hardware procurement and partner program server. Each tool covers a distinct step in the workflow (discovery, financial modeling, ordering, tracking, onboarding, stats) without redundancy.
Completeness4/5
Core lifecycle is covered: discover specs, calculate ROI, place order, track order, onboard partner, and view partner stats. Minor gaps exist (no order cancellation, historical order listing, or partner update), but agents can work around these.
Maintenance
ActivityMaintained
ResponsivenessNo issues