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Semesters Server

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Enables AI assistants to build trauma-informed, dyslexia-friendly educational software with specialized tools for accessible UI generation, content review, and

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Описание

Enables AI assistants to build trauma-informed, dyslexia-friendly educational software with specialized tools for accessible UI generation, content review, and multisensory learning activities.

README

A specialized Model Context Protocol (MCP) server for building trauma-informed, dyslexia-friendly educational software. This server provides AI assistants with specialized tools for creating accessible learning applications that follow evidence-based educational methodologies.

Features

  • Dyslexia-Friendly UI Generation: Creates accessible components with OpenDyslexic fonts and high contrast
  • Trauma-Informed Content Review: Validates content against trauma-informed principles
  • Orton-Gillingham Activity Validation: Ensures activities follow OG methodology
  • Multisensory Phoneme Activities: Generates activities using multiple learning modalities
  • Code Safety Review: Reviews code for trauma-informed principles
  • Stress Detection Protocols: Generates protocols for handling learner stress
  • Engagement Activities: Creates intrinsically motivating learning experiences
  • Safety Validation: Checks engagement mechanics for potential trauma triggers

Installation

Prerequisites

  • Node.js 18+
  • npm or yarn
  • TypeScript 5.0+

Setup

# Clone the repository
git clone <repository-url>
cd semesters-mcp-server

# Install dependencies
npm install

# Build the project
npm run build

MCP Configuration

To use this server with an MCP client (like Claude Desktop), add the following to your MCP configuration file:

{
  "mcpServers": {
    "semesters-dev": {
      "command": "node",
      "args": ["path/to/semesters-mcp-server/dist/index.js"],
      "env": {}
    }
  }
}

Replace path/to/semesters-mcp-server with the actual path to your installation.

Usage

The server runs via stdio and provides 8 specialized tools for educational software development:

  1. generate_dyslexia_ui - Generate accessible UI components
  2. review_trauma_content - Review content for trauma-informed language
  3. validate_og_activity - Validate against Orton-Gillingham principles
  4. generate_phoneme_activity - Create multisensory phoneme practice
  5. review_code_safety - Review code for trauma-informed principles
  6. generate_stress_protocol - Create stress detection/response protocols
  7. generate_engagement_activity - Create intrinsically motivating activities
  8. validate_engagement_safety - Check engagement mechanics for safety

Development

npm run dev    # Watch mode for development
npm run build  # Build TypeScript to JavaScript
npm start      # Run the built server
npm run clean  # Clean build directory

Testing

The project includes a comprehensive test suite that exercises all available tools:

# Run the test suite
node test-tools.js

The test script will:

  • List all available tools
  • Test each tool with sample inputs
  • Validate responses and error handling
  • Provide detailed output for debugging

API Reference

Tool Parameters

generate_dyslexia_ui

  • componentType: "button" | "text" | "input" | "card"
  • content: String content for the component
  • intent: "primary" | "secondary" | "comfort" | "celebration"

review_trauma_content

  • content: Text content to review
  • context: Optional context where content appears

validate_og_activity

  • activity: Activity object to validate
  • targetLevel: Target OG level (1-5)

generate_phoneme_activity

  • phoneme: Target phoneme to practice
  • modalities: Array of "visual" | "auditory" | "kinesthetic" | "tactile"

review_code_safety

  • code: Code to review
  • language: Programming language

generate_stress_protocol

  • triggerType: "behavioral" | "physiological" | "performance"
  • severity: "mild" | "moderate" | "high"

generate_engagement_activity

  • phoneme: Target phoneme to practice
  • theme: "dragons" | "space" | "magic" | "animals" | "adventure" | "mystery"
  • stressLevel: "low" | "medium" | "high"
  • inputMethods: Array of "touch" | "voice" | "camera" | "microphone" | "bluetooth"

validate_engagement_safety

  • mechanic: Engagement mechanic to validate
  • context: Context where mechanic would be used

Educational Principles

  • Trauma-Informed: No failure states, child agency, positive reinforcement
  • Dyslexia-Friendly: OpenDyslexic fonts, high contrast, generous spacing
  • Orton-Gillingham: Systematic, multisensory, sequential phonics instruction
  • Age-Appropriate: Sophisticated contexts for foundational skills (12+ years)

Technical Details

  • Runtime: Node.js with ES modules
  • Language: TypeScript 5.0+
  • Protocol: Model Context Protocol (MCP) via stdio
  • Dependencies: @modelcontextprotocol/sdk
  • Architecture: Single-file server with modular tool handlers

Contributing

When contributing to this project, please ensure:

  1. All code follows trauma-informed principles
  2. UI components are dyslexia-friendly
  3. Educational content aligns with Orton-Gillingham methodology
  4. Test coverage is maintained for new tools
  5. Documentation is updated for API changes

License

MIT License - see package.json for details

from github.com/LaurenWeickert/Addies-MCP

Установка Semesters Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/LaurenWeickert/Addies-MCP

FAQ

Semesters Server MCP бесплатный?

Да, Semesters Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Semesters Server?

Нет, Semesters Server работает без API-ключей и переменных окружения.

Semesters Server — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Semesters Server в Claude Desktop, Claude Code или Cursor?

Открой Semesters Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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