A
licenseA
qualityD
maintenanceA group of model context protocol servers provide cognitive enhancement tools for large language models.
1
2
Apache 2.0
Enhanced Architecture MCP
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TDQS
C2.9/5.0
Scored across 5 tools
Disambiguation2/5
Multiple tools have overlapping purposes that could cause confusion. 'query_local_ai' and 'reasoning_assist' both involve reasoning assistance with local AI, while 'hybrid_analysis' and 'token_efficient_reasoning' both address complex problem-solving with efficiency considerations. The descriptions don't clearly differentiate when to use one over the other.
Naming Consistency3/5
The naming conventions are mixed but still readable. 'model_list' and 'query_local_ai' follow a verb_noun pattern, while 'hybrid_analysis', 'reasoning_assist', and 'token_efficient_reasoning' use descriptive phrases without clear verbs. This inconsistency makes the set less predictable but not chaotic.
Tool Count4/5
With 5 tools, the count is reasonable for a server focused on AI and analysis tasks. It's slightly lean but covers core functionalities like listing models, querying AI, and analysis. A few more tools might enhance coverage, but this is within an appropriate range.
Completeness3/5
The toolset covers basic AI interaction and analysis but has notable gaps. There's no tool for managing or configuring models (e.g., load/unload), updating analysis parameters, or handling errors. The domain suggests more lifecycle operations, but agents can work around this with the provided tools.
Maintenance
ActivityInactive
ResponsivenessNo issues