A
licenseB
qualityB
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.
4
89 npm
MIT
aradia-mcp-server
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TDQS
A4.4/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a clearly distinct phase: hardware discovery, ROI modeling, procurement execution, partner registration, partner analytics, and order tracking. Descriptions explicitly cross-reference related tools and state when not to use them, leaving little risk of misselection.
Naming Consistency5/5
All names use a consistent snake_case verb_noun pattern (query_hardware_specs, calculate_roi, execute_procurement_order, onboard_partner, query_partner_stats, track_order_status). The convention is predictable and readable throughout.
Tool Count5/5
Six tools are well-scoped for the apparent domain of hardware discovery, financial evaluation, procurement, partner operations, and order tracking. Each tool has a distinct role and none feel redundant or filler-like.
Completeness4/5
The set covers the core lifecycle from hardware specs and ROI through procurement and order tracking, plus partner onboarding and stats. Minor gaps exist around listing/history, cancellation or modification of orders, and deeper partner payout management, but agents can work around these for the main workflows.
Maintenance
ActivityMaintained
ResponsivenessOutdated data