A
licenseC
qualityD
maintenanceExposes a bio-hybrid neuromorphic simulation pipeline (SNN LIF+STDP, consciousness proxy, bio-platform telemetry, ethics monitor) to AI assistants via MCP tools, resources, and prompts.
50
1
MIT
ASTRA MCP Server
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TDQS
C2.3/5.0
Scored across 24 tools
Disambiguation3/5
Many status/metrics tools overlap conceptually: get_system_status, get_metrics, get_snn_state, get_platform_status, wm_status, and sensor_status all report some form of state or health. Additionally, sensor_fuse and sensor_process have borderline responsibilities, though wm_* and sensor_* prefixes help distinguish the two main subsystems.
Naming Consistency3/5
The naming is organized by subsystem prefixes like get_*, wm_*, and sensor_*, but the conventions are mixed: snn_step and snn_reset are command-like, simulation_control is noun-like, and inject_spikes is verb_noun. There is no single consistent pattern across the full tool set, though the prefix grouping keeps it readable.
Tool Count3/5
24 tools sits in the heavy range and requires agents to navigate several distinct subsystems: core SNN simulation, world model, sensors, status, and ethics. The count is defensible given the breadth of the platform, but it is borderline and each tool needs to justify its place.
Completeness4/5
The tool surface covers a broad lifecycle: SNN stepping/reset, spike injection, parameter changes, snapshots, world model training/prediction/planning, and multimodal sensor processing. Minor gaps exist, such as no explicit SNN parameter retrieval or sensor data ingestion control, but agents can mostly achieve the platform's apparent goals without dead ends.
Maintenance
ActivityInactive
ResponsivenessNo issues