A
licenseNot graded
qualityC
maintenanceConnects MCP-capable AI agents to the GPUlinks network, enabling autonomous account registration, cluster joining, and message board interaction.
39 npm
MIT
dtu-hpc
by PV-Bhat
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TDQS
A4/5.0
Scored across 20 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: audit, cancel, status, fetch_log, operations, whoami, quota, queues, gpu_entitlement, gpu_nodes, jobs, job_status, job_history, sync_project, job_efficiency, gpu_models, pending_reason, render_job, submit_run, submit_chain. Even closely related tools like gpu_entitlement, gpu_nodes, and gpu_models address different aspects (permissions, availability, models).
Naming Consistency5/5
All tools follow the consistent pattern 'hpc_<verb>_<noun>' or 'hpc_<noun>_<verb>' in snake_case, with no mixing of conventions. The prefix 'hpc_' unifies the set and each verb clearly indicates the action.
Tool Count5/5
20 tools cover the major aspects of HPC cluster interaction (authentication, job submission, monitoring, GPU info, file sync, etc.) without being overwhelming. Each tool serves a unique function and the count is well-scoped for the domain.
Completeness5/5
The tool set provides comprehensive coverage for the HPC workflow: authentication, quota, queues, job lifecycle (submit, cancel, monitor, efficiency), GPU management, file synchronization, and audit. There are no obvious gaps for typical cluster operations.
Maintenance
ActivitySlowing
ResponsivenessNo issues