Semesters MCP Server
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- FlicenseNot gradedqualityBmaintenanceConnects AI assistants to a children's education platform so teachers, parents and content authors can create courses, lessons and interactive exercises, manage lesson calendars, review and grade homework, and track student progress through natural conversation. It also supports building educational games, media libraries, and age-targeted recommendation strategies.-
- FlicenseNot gradedqualityAmaintenanceEnables AI models, educational applications, smart hardware, and teaching agents to interconnect and share data and context through a standardized protocol. Supports generating personalized stories, quizzes, and multimedia learning content, with age-appropriate filtering, multi-language output, and asynchronous task processing.-
- AlicenseBqualityDmaintenanceProvides AI assistants with tools to grade, generate, and validate UI components against the components.build specification. Supports searching documentation, checking compliance, and generating framework-agnostic accessible components.1111 npmApache 2.0
- AlicenseAqualityBmaintenanceProvides AI-powered educational tools for teachers including lesson planning, quiz creation, student progress analysis, learning path recommendations, and rubric generation. Enables educators to automate administrative tasks and personalize learning experiences through natural language interactions.54 npmMIT

producer-cueofficial
AlicenseAqualityBmaintenanceEnables AI coding assistants to design, synthesize, heal, and export production-ready accessible web applications and design systems in real time with zero build overhead.7Apache 2.0- AlicenseAqualityAmaintenanceEnables AI agents to perform WCAG 2.2 accessibility audits, including contrast ratio checks for color pairs and text-over-image, generate EU legal accessibility declarations, and produce aria-live monitoring snippets, all through local, multilingual tools.321,392 PyPI2MIT
TDQS
Scored across 8 tools
Most tools have distinct targets (UI vs activity vs protocol), but review_trauma_content and validate_engagement_safety both address trauma-related concerns, which could cause some confusion. The descriptions likely clarify the difference, but the boundaries are slightly fuzzy.
All tool names follow a consistent verb_noun pattern in snake_case (generate_*, validate_*, review_*). The actions are clear and predictable, making it easy to understand what each tool does.
With 8 tools, the server is well-scoped for its apparent purpose of generating and validating dyslexia-friendly, trauma-informed educational content. Each tool addresses a specific aspect of the workflow, and none feels redundant or unnecessary.
The tool surface covers generation, validation, and review for the core domain, but lacks tools for updating or managing existing activities/content. However, for a generator-focused server, the missing pieces are minor and can be worked around externally.