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
Related Servers
Alternatives to ASTRA MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseCqualityBmaintenanceExposes a bio-hybrid neuromorphic simulation pipeline to MCP clients, enabling AI assistants to query SNN LIF+STDP simulation, consciousness proxy assessment, bio-computing platform telemetry, and IRB ethics monitoring as MCP tools, resources, and prompts.70MIT
- AlicenseCqualityDmaintenanceIntegrates a bio-hybrid neuromorphic simulation pipeline with SNN, consciousness proxies, and bio-computing platform telemetry as MCP tools, resources, and prompts for AI assistants.481MIT
- AlicenseCqualityDmaintenanceExposes a bio-hybrid neuromorphic simulation pipeline (SNN LIF+STDP, consciousness proxies, ethics monitor) as MCP tools, resources, and prompts to AI assistants.24MIT
- AlicenseCqualityDmaintenanceExposes a bio-hybrid neuromorphic simulation pipeline (SNN, consciousness proxies, wetware integration) as MCP tools, resources, and prompts for AI assistants.50MIT
- AlicenseCqualityCmaintenanceEnables AI assistants to interact with a bio-hybrid neuromorphic simulation pipeline, including a layered SNN engine, consciousness proxy metrics, NeuroPlatform wetware bridge, and ethics monitoring via 62 MCP tools, resources, and prompts.621MIT
TDQS
C2.6/5.0
Scored across 50 tools
Disambiguation4/5
Tools are well-differentiated with clear prefixes (np_, tcai_, sensor_, wm_) that group related functions. Some potential overlap exists between get_acm_score and tcai_metrics, and between check_ethics and np_closed_loop, but descriptions clarify distinct purposes.
Naming Consistency4/5
Naming is consistent within subgroups (e.g., all np_* follow noun_verb, all tcai_* are descriptive). However, across the whole set there is a mix of verb_noun (snap_reset), noun_verb (sensor_audio), and no clear single convention.
Tool Count3/5
50 tools is high for a single server, though the scope (neuroplatform, consciousness, world model, sensors) is broad. The count is borderline; many tools could be merged or modularized.
Completeness4/5
The tool set covers monitoring, control, simulation, learning, memory, and sensory processing comprehensively. Minor gaps exist, such as no tool for deleting memories or resetting specific sensor states, but core workflows are well-supported.
Maintenance
ActivityInactive
ResponsivenessNo issues