Parallels RAS MCP Server
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TDQS
Scored across 41 tools
Most tools have distinct purposes targeting specific resources (e.g., farm, infra, pub, site) and actions (get, list), with clear boundaries like ras_farm_get_licensing vs. ras_farm_get_config. However, some overlap exists in 'get' operations across similar resources (e.g., ras_infra_get_rds_hostpools and ras_infra_get_rds_hosts), which could cause minor confusion but is mitigated by detailed descriptions.
All tools follow a consistent snake_case pattern with a clear structure: ras_<category>_<action>_<resource> (e.g., ras_farm_get_administrators, ras_pub_get_all_items). This predictability makes it easy for agents to understand the tool's domain and purpose at a glance, with no deviations in naming style.
With 41 tools, the count is excessive for a single server, likely overwhelming for agents to navigate efficiently. While the domain (Parallels RAS management) is broad, the toolset could be streamlined by grouping related operations (e.g., combining multiple 'get' tools into fewer, more general ones) to reduce cognitive load and improve usability.
The toolset provides comprehensive coverage for managing a Parallels RAS farm, including configuration, infrastructure, publishing, sessions, and site settings. It supports full CRUD-like operations (primarily read/get actions) across all key areas, with no obvious gaps—agents can audit, monitor, and troubleshoot the entire system effectively.