A
licenseNot graded
qualityD
maintenanceEnables AI assistants to search through structured databases and unstructured content (documents, videos, files) using natural language queries with semantic understanding.
MIT
ModelAtlas
by rohanvinaik
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TDQS
A4.2/5.0
Scored across 10 tools
Disambiguation5/5
Every tool has a clearly distinct purpose: core recommendation, HF search, detail, comparison, index building, status, generic search, vibe setting, source listing, and enrichment progress. No two tools overlap in function.
Naming Consistency5/5
Tools follow a consistent verb_noun pattern with clear prefixes ('hf_' for HuggingFace, 'search_', 'set_', 'list_', 'navigate_'). The naming is predictable and descriptive.
Tool Count5/5
With 10 tools, the server is well-scoped. Each tool earns its place, covering discovery, retrieval, comparison, management, and enrichment without unnecessary bloat.
Completeness5/5
The tool surface is complete for the server's purpose: navigating models (core recommendation), searching across sources, fetching details, comparing, building indexes, and adding metadata. No obvious gaps.
Maintenance
ActivityStale
ResponsivenessNo issues