Semesters MCP Server
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
Semesters MCP Server
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:
generate_dyslexia_ui- Generate accessible UI componentsreview_trauma_content- Review content for trauma-informed languagevalidate_og_activity- Validate against Orton-Gillingham principlesgenerate_phoneme_activity- Create multisensory phoneme practicereview_code_safety- Review code for trauma-informed principlesgenerate_stress_protocol- Create stress detection/response protocolsgenerate_engagement_activity- Create intrinsically motivating activitiesvalidate_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 componentintent: "primary" | "secondary" | "comfort" | "celebration"
review_trauma_content
content: Text content to reviewcontext: Optional context where content appears
validate_og_activity
activity: Activity object to validatetargetLevel: Target OG level (1-5)
generate_phoneme_activity
phoneme: Target phoneme to practicemodalities: Array of "visual" | "auditory" | "kinesthetic" | "tactile"
review_code_safety
code: Code to reviewlanguage: Programming language
generate_stress_protocol
triggerType: "behavioral" | "physiological" | "performance"severity: "mild" | "moderate" | "high"
generate_engagement_activity
phoneme: Target phoneme to practicetheme: "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 validatecontext: 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:
- All code follows trauma-informed principles
- UI components are dyslexia-friendly
- Educational content aligns with Orton-Gillingham methodology
- Test coverage is maintained for new tools
- Documentation is updated for API changes
License
MIT License - see package.json for details
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。