A
licenseB
qualityC
maintenanceThis server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.
2
13
MIT
labgrid-mcp
by onurcelep
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TDQS
A3.5/5.0
Scored across 38 tools
Disambiguation4/5
Most tools have distinct purposes (e.g., get_power_state vs set_power, console_open vs console_read). A few pairs like release_place/release_from and who/list_places could be confused, but their descriptions clearly differentiate them. Overall boundaries are clear.
Naming Consistency4/5
The vast majority of tool names follow a verb_noun pattern (list_places, reserve, acquire_place, set_power). Exceptions like coordinator_info and who break the pattern, but they are minor and the naming is otherwise predictable.
Tool Count2/5
38 tools is well above the 25-tool threshold, making the surface feel heavy. While the domain is broad, the high count may overwhelm agents, and some tools could be consolidated (e.g., a single console tool with subcommands). The scope justifies some breadth, but this exceeds reasonable limits.
Completeness4/5
The tool set covers core lifecycle operations: place inspection, reservation management, acquisition/release, hardware control (power/IO/SD/USB), console, SSH, file transfer, and port forwarding. Minor gaps include no delete_place, no get_reservation by token, and no explicit listing of console sessions, but these are workable shortcomings.
Maintenance
ActivityMaintained
ResponsivenessResponsive