vastai-mcp
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- FlicenseAqualityBmaintenanceMCP server that wraps the Vast.ai REST API to enable LLM agents to search GPU marketplace, rent machines, manage instance lifecycle, run commands, and inspect billing.201-
- AlicenseNot gradedqualityFmaintenanceEnables comprehensive management of Vast.ai GPU cloud instances, including searching for GPU offers, creating and managing instances, executing remote commands via SSH, and monitoring background tasks for ML training workflows.12MIT
- AlicenseNot gradedqualityDmaintenanceEnables Vast.ai providers to manage hosted machines, update pricing, run self-tests, and automate host operations through natural language.MIT

paraloncloud-rentalsofficial
AlicenseAqualityBmaintenanceEnables MCP clients to rent GPUs from ParalonCloud using natural language, including browsing available GPUs, starting and stopping rentals, and retrieving connection URLs.610 npm2MIT- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to manage Massed Compute GPU instances, including browsing inventory, launching and managing VMs, and auditing billing.1MIT

meshive-mcpofficial
AlicenseNot gradedqualityBmaintenanceEnables MCP-capable agents to manage Meshive GPU Cloud resources, including account, workspaces, pods, storage, GPUs, templates, serverless deployments, tasks, assets, machines, and billing history.Apache 2.0
TDQS
Scored across 6 tools
Each tool targets a distinct resource or action: GPU pricing snapshots, rentable offers, volume creation, volume listing, instance creation, and billing. list_gpus and search_offers are related but clearly differ in granularity, and the descriptions prevent confusion.
Most tool names follow a clear verb_noun pattern such as list_gpus, create_volume, and create_instance. billing_summary is the only real outlier, being a noun phrase rather than a verb-led action, but the overall convention remains predictable.
Six tools is well within the ideal scope for a focused rental-management server. Each tool serves a necessary step in the core workflow, and there is no obvious bloat or redundancy.
The tool set covers discovery, creation, volume listing, and billing, but it lacks essential lifecycle operations such as listing instances, terminating instances, and deleting volumes. This creates significant dead ends: resources can be created but not managed or cleaned up.