# Token Efficient MCP Template

> This skill should be used when creating token-efficient hook systems and MCP server architectures for web applications. Use for React/FastAPI, Django, Node.js projects that need smart caching, progressive context loading, and 95%+ token reduction. Essential for projects requiring monitoring, debugging, data analysis, and system health tools.

- Skill: `majiayu000/token-efficient-mcp-template` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/token-efficient-mcp-template`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/token-efficient-mcp-template/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Web & Frontend
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/token-efficient-mcp-template

---


# Token-Efficient MCP & Hook System Template

## Overview

Transform any web application into a token-efficient ecosystem with smart MCP server tools and sophisticated hook systems. Provides 95%+ token reduction through intelligent caching, progressive context loading, and optimized tool discovery patterns.

## Quick Start

**Initialize new project ecosystem:**
```bash
# Run the initialization script
python scripts/init_template.py --project-type {react|fastapi|django|node} --name my-project
```

**Generate specific components:**
- Hook system: `python scripts/generate_hooks.py --type {pre-tool|context|session}`
- MCP server: `python scripts/setup_mcp_server.py --categories {logs,system,database}`
- Caching: `python scripts/configure_caching.py --strategy {smart|progressive|differential}`

## Core Capabilities

### 1. Hook System Generation

Create sophisticated hook systems that provide real-time tool guidance and token efficiency nudges.

**Pre-Tool-Use Hooks:**
- Analyze tool usage patterns before execution
- Suggest token-efficient alternatives (95-99% savings)
- Validate tool parameters and security constraints
- Provide context-aware recommendations

**Context Injection Hooks:**
- Progressive context loading (summary → targeted → full)
- Session state management and tracking
- Dependency resolution and caching
- Background refresh mechanisms

**Session Management Hooks:**
- Timeout protection and resource limits
- Background task coordination
- Health monitoring and validation
- Graceful error handling and recovery

### 2. MCP Server Architecture

Bootstrap production-ready MCP servers with modular tool categories and intelligent caching.

**Tool Categories:**
- **logs**: Error pattern analysis, log aggregation, troubleshooting
- **system**: Health monitoring, performance metrics, status checks
- **database**: Query optimization, connection management, backup verification
- **performance**: Real-time monitoring, resource tracking, bottleneck detection
- **execution**: Sandboxed code execution, data transformation, analysis
- **optimization**: Token efficiency, cache management, progressive disclosure

**Built-in Features:**
- Smart caching with configurable TTLs
- Progressive disclosure patterns
- Background refresh strategies
- Token usage optimization
- Security sandboxing

### 3. Token Efficiency Framework

Implement proven patterns for dramatic token reduction without sacrificing functionality.

**Smart Caching Strategies:**
- Differential analysis (99% token reduction)
- Context-aware summarization
- Intelligent cache invalidation
- Background refresh for stale data

**Progressive Context Loading:**
- Summary mode (150 tokens)
- Targeted mode (800 tokens)
- Full context (complete file/data)
- Automatic level selection based on user intent

**Optimization Patterns:**
- Query result aggregation
- Batch processing for multiple operations
- Compression of repetitive data
- Smart prefetching based on usage patterns

## Project Templates

### React/FastAPI Template
```bash
python scripts/init_template.py --project-type react-fastapi --name my-app
```
- Frontend-backend tool integration
- WebSocket real-time updates
- API endpoint monitoring
- Component-level performance tracking

### Django Analytics Template
```bash
python scripts/init_template.py --project-type django-analytics --name dashboard
```
- Database query optimization
- Admin panel integration
- User activity tracking
- Report generation tools

### Node.js Microservices Template
```bash
python scripts/init_template.py --project-type node-microservices --name services
```
- Service health monitoring
- Inter-service communication tracking
- Load balancing metrics
- Distributed tracing tools

## Resources

### scripts/
Executable automation scripts for template generation and project setup.

**Core Scripts:**
- `init_template.py` - Initialize complete project ecosystem
- `generate_hooks.py` - Generate hook system components
- `setup_mcp_server.py` - Create MCP server with tool categories
- `configure_caching.py` - Set up token efficiency strategies
- `health_check.py` - Validate system connectivity and health

**Usage Example:**
```bash
# Initialize React/FastAPI project with full ecosystem
python scripts/init_template.py \
  --project-type react-fastapi \
  --name my-ecommerce-app \
  --include-mcp-server \
  --include-hooks \
  --caching-strategy smart
```

### references/
Comprehensive documentation and implementation guides.

**Key References:**
- `hook_patterns.md` - Hook implementation best practices and patterns
- `mcp_design_guide.md` - MCP server architecture and design principles
- `token_optimization.md` - Caching strategies and token efficiency techniques
- `security_guide.md` - Sandbox configurations and security best practices
- `integration_examples.md` - Detailed integration examples for different stacks

**Reference Usage:**
- Load specific references when implementing custom components
- Consult design guides for architectural decisions
- Use examples as templates for project-specific customizations

### assets/
Template files and configurations for different project types.

**Template Categories:**
- `hook_templates/` - Hook system templates for different environments
- `mcp_templates/` - MCP server tool definitions and schemas
- `config_templates/` - YAML configurations for different stacks
- `docker_templates/` - Container configurations and deployment scripts

**Asset Usage:**
- Copy templates directly to new projects
- Customize configurations for specific requirements
- Use as starting points for custom implementations

## Implementation Workflow

### Phase 1: Project Analysis
1. Identify project type and requirements
2. Determine needed tool categories
3. Select caching and optimization strategies
4. Configure security and performance parameters

### Phase 2: Template Generation
1. Run initialization script with project parameters
2. Generate hook system components
3. Set up MCP server with selected tools
4. Configure caching and optimization strategies

### Phase 3: Customization
1. Adapt templates to project-specific needs
2. Configure tool parameters and security settings
3. Set up monitoring and health checks
4. Test integration and validate functionality

### Phase 4: Deployment
1. Configure deployment environments
2. Set up monitoring and alerting
3. Validate performance and token efficiency
4. Document customizations and usage patterns

## Best Practices

**Token Efficiency:**
- Always use progressive context loading for large files
- Implement smart caching with appropriate TTLs
- Use differential analysis for change detection
- Batch operations when possible

**Security:**
- Configure sandboxing for code execution
- Implement proper authentication and authorization
- Use environment-specific configurations
- Regular security audits and updates

**Performance:**
- Monitor token usage and optimize patterns
- Use background refresh for stale data
- Implement proper error handling and recovery
- Regular performance validation and tuning

---

This skill transforms the sophisticated patterns from production systems into reusable templates, enabling any developer to create token-efficient tool ecosystems with minimal effort and maximum impact.