A
licenseNot graded
qualityC
maintenanceEnables MCP-compatible AI clients to tutor students through a full learning workflow, including knowledge retrieval, assessments, mastery tracking, and personalized next-action recommendations.
MIT
DeepTutor MCP
by Suyutao
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TDQS
B3.4/5.0
Scored across 58 tools
Disambiguation5/5
Each tool targets a distinct resource and action, with clear descriptions that prevent confusion. Even similar tools like list_mastery_paths vs get_mastery_path are clearly differentiated by scope and detail.
Naming Consistency4/5
The vast majority of tools follow a consistent verb_noun snake_case pattern (get_, list_, create_, update_, delete_, etc.). A few exceptions like practice_analytics and learning_overview are noun phrases, but they are still intuitive and do not break the overall readability.
Tool Count2/5
With 58 tools, the surface is extremely large and exceeds the 25+ threshold for being 'too many'. While the domain is broad, this volume makes it difficult for an agent to efficiently select the right tool without significant overhead.
Completeness3/5
The tool set covers a wide range of operations for notebooks, practice, reading, and question bank, but lacks create/delete operations for core resources like courses, mastery paths, books, and reading materials. This leaves notable lifecycle gaps that agents cannot work around.
Maintenance
ActivityMaintained
ResponsivenessNo issues