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
43 PyPI
13
MIT
labgrid-mcp
by onurcelep
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TDQS
B3.4/5.0
Scored across 38 tools
Disambiguation4/5
Most tools target a clearly distinct resource+action (list_places vs show_place, get_power_state vs set_power, forward_open vs forward_remote_open). The two closest pairs — release_place vs release_from, and add_place_alias vs delete_place_alias — are explicitly differentiated in their descriptions. Only minor overlap remains, so an agent can reliably choose.
Naming Consistency3/5
Two competing conventions coexist: verb_noun (list_places, set_power, add_place_match) and noun_verb (reservation_wait, console_send, forward_open, ssh_run), plus bare verbs (reserve, who). Each pattern is internally consistent per domain family and stays readable, but the set as a whole is mixed rather than uniform.
Tool Count2/5
At 38 tools this is well above the 'heavy' threshold, and the surface is quite granular (separate get/set pairs for power, io, and sd_mux). The domain is genuinely broad, but the sheer count makes discovery harder than necessary.
Completeness3/5
Core lifecycle is covered well: places (acquire/release/allow/release_from), reservations (reserve/cancel/wait/list), console, forwards, ssh, and place metadata. However there is no delete_place and, notably, add_place_match exists without a matching delete_place_match (referenced in descriptions but unregistered), leaving real teardown gaps.
Maintenance
ActivityMaintained
ResponsivenessResponsive