A
licenseNot graded
qualityB
maintenanceAn MCP server that gives AI agents a unified interface to clinical/research EEG workflows: signal processing, source imaging, persistent dataset/EHR storage, and web visualization.
1
BSD 3-Clause
eeg-mcp
by AImplifier
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TDQS
A3.7/5.0
Scored across 47 tools
Disambiguation5/5
Every tool targets a distinct resource and action, with nuanced distinctions clearly explained (e.g., get_events vs list_recording_events, start_stream vs start_replay). No two tools appear to do the same thing, even in dense areas like stimulation and processor management.
Naming Consistency5/5
Tool names follow a consistent snake_case verb_noun pattern (list_, get_, start_, stop_, attach_, detach_, set_, clear_) with a predictable 'status' suffix for health-check tools (stream_status, processor_status). No mixing of conventions or vague verbs.
Tool Count2/5
At 47 tools, the surface is far above the 'heavy' threshold of 25. While the broad scope of a full EEG platform justifies many operations, the sheer number is overwhelming for an agent to navigate efficiently and risks tool-selection errors in practice.
Completeness5/5
The tool set covers the entire EEG workflow: acquisition, filtering, analysis, recording, replay, stimulation, monitoring, events, and processors. Lifecycle actions have counterparts (start/stop, attach/detach, arm/disarm), and there are no obvious dead ends or missing core operations.
Maintenance
ActivitySlowing
ResponsivenessUnresponsive