ObisDevs/node-typer-MCP
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node-typer-MCP is an advanced Model Context Protocol server designed to provide a comprehensive Artificial General Intelligence system with a wide range of tools and capabilities.
🧠 node-typer-MCP
The Ultimate AI-Powered Model Context Protocol Server — A complete Artificial General Intelligence system with 20 advanced tools, autonomous cognitive capabilities, self-improvement, and enterprise-grade security.
🎯 Overview
node-typer-MCP is the most advanced Model Context Protocol server ever built — a complete AGI system with 20 specialized tools covering every aspect of AI automation, data processing, and intelligent task execution.
🚀 Built For:
- Windsurf MCP Manager — Full IDE integration
- Claude Desktop MCP — AI assistant enhancement
- n8n AI Workflow Nodes — Automation platform integration
- Custom AI Agents — Any MCP-compliant system
⚡ Key Capabilities:
- 🧠 Autonomous Cognitive Intelligence — Plans, executes, and adapts tasks
- 🔄 Self-Improvement System — Creates new tools when needed
- 🌐 Multi-Modal Processing — Text, web, images, databases, system operations
- 🛡️ Enterprise Security — Sandboxed execution with audit logging
- 📊 Advanced Analytics — Statistical analysis and ML algorithms
- 💾 Persistent Memory — Learns and remembers across sessions
🛠️ Complete Tool Arsenal (20 Tools)
🔧 Core Utility Tools (9)
| Tool | Description | Key Features |
|---|---|---|
typewrite | Human-like typing simulation | Character-by-character output, configurable speed, TTY detection |
infer_type | Intelligent type detection | Numbers, booleans, dates, arrays, smart inference |
cast_type | Safe type conversion | Error handling, validation, meaningful error messages |
log_message | Advanced logging system | Color-coded levels, animated output, filtering |
generate_n8n_workflow | N8N workflow generator | Natural language → JSON, auto-detects nodes, triggers |
transform_data | Universal data converter | JSON/CSV/XML/YAML, field mapping, nested structures |
validate_data | Schema validation engine | JSON Schema, custom rules, strict/loose modes |
evaluate_expression | Safe expression evaluator | Math/logic/string/date expressions, variable injection |
manage_secrets | Enterprise secret management | Store/retrieve/mask/generate, multiple secret types |
🧠 Brain Intelligence System (10)
| Tool | Description | Capabilities |
|---|---|---|
web_intelligence | Web data gathering & analysis | Multi-URL scraping, content analysis, sentiment detection |
cognitive_search | AI-powered search engine | Multi-engine aggregation, fact-checking, trend analysis |
analytics_brain | Statistical & ML analysis | Correlation, forecasting, clustering, anomaly detection |
vision_intelligence | Image & visual processing | OCR, object detection, chart analysis, face recognition |
orchestrator_brain | Master task coordinator | Multi-tool orchestration, optimization, adaptive execution |
system_intelligence | Terminal & system operations | SSH, code execution, file operations, process management |
memory_brain | Persistent memory system | Long-term storage, associations, pattern learning |
database_intelligence | Multi-database operations | SQL/NoSQL/Graph, schema analysis, optimization |
cognitive_task | Autonomous task execution | Planning, execution, error recovery, rethinking |
self_improvement | Dynamic tool creation | Failure analysis, tool generation, system evolution |
💳 Payment Processing (1)
| Tool | Description | Features |
|---|---|---|
stripe_payment_processor | Stripe API integration | Payment intents, capture, refunds, retrieval |
🧠 Cognitive Architecture
Autonomous Intelligence Features:
- 🎯 Task Planning — Decomposes complex tasks into executable steps
- 🔄 Error Recovery — Intelligent rethinking and alternative approaches
- 📈 Self-Optimization — Learns from failures and improves performance
- 🔗 Tool Orchestration — Coordinates multiple tools for complex workflows
- 💡 Context Awareness — Maintains memory across task executions
Multi-Modal Processing:
- 📝 Text Processing — NLP, sentiment analysis, entity extraction
- 🌐 Web Intelligence — Real-time data gathering and analysis
- 👁️ Computer Vision — Image analysis, OCR, chart interpretation
- 📊 Data Analytics — Statistical analysis, ML algorithms, forecasting
- 💾 Database Operations — Multi-database support with optimization
🚀 Quick Start
1. Installation
git clone https://github.com/ObisDevs/node-typer-MCP.git
cd node-typer-MCP
npm install
npm run build
2. Run Tests
npm test
3. Start MCP Server
node dist/server.js
⚙️ Configuration
Windsurf MCP Configuration
{
"mcpServers": {
"node-typer": {
"command": "node",
"args": ["/absolute/path/to/node-typer-MCP/dist/server.js"],
"cwd": "/absolute/path/to/node-typer-MCP"
}
}
}
Claude Desktop MCP Configuration
{
"mcpServers": {
"node-typer": {
"command": "node",
"args": ["/path/to/node-typer-MCP/dist/server.js"]
}
}
}
Environment Variables
# Optional: Set custom port
PORT=3000
# Optional: Enable debug logging
DEBUG=true
# Optional: Stripe API key for payment processing
STRIPE_SECRET_KEY=sk_test_...
💡 Usage Examples
Basic Tool Usage
// Type simulation
use typewrite with text "Hello World" and speed 50
// Data transformation
use transform_data to convert JSON to YAML format
// Smart validation
use validate_data with email validation rules
Advanced Cognitive Tasks
// Autonomous research workflow
use cognitive_task to "research Tesla stock performance, analyze charts, and generate investment report"
// Multi-tool orchestration
use orchestrator_brain to "fetch web data, perform statistical analysis, and create visualizations"
// Self-improvement
use self_improvement to create new tools when capabilities are missing
Payment Processing
// Create payment intent
use stripe_payment_processor to create payment for $20.00
// Process refund
use stripe_payment_processor to refund payment pi_1234567890
🏗️ Architecture
src/
├── brain/ # Cognitive intelligence system
│ ├── cognitive-core.ts # Main cognitive brain
│ ├── cognitive-core-methods.ts # Helper methods
│ └── self-improvement.ts # Self-improvement engine
├── core/ # Core utilities
│ ├── typewriter.ts # Typing simulation
│ ├── logger.ts # Advanced logging
│ └── utils.ts # Type utilities
├── library/ # Dynamic tool library
│ ├── tool-registry.ts # Tool management
│ └── tools/ # Dynamic tool storage
├── mcp/ # MCP protocol implementation
│ ├── adapter.ts # Request processing
│ ├── types.ts # Type definitions
│ └── index.ts # MCP exports
├── tools/ # All 20 specialized tools
│ ├── web-intelligence.ts
│ ├── analytics-brain.ts
│ ├── vision-intelligence.ts
│ ├── stripe-payment-processor.ts
│ └── ... (16 more tools)
├── server.ts # MCP server entry point
└── index.ts # Package exports
🛡️ Security Features
- 🔒 Sandboxed Execution — Isolated environments for code execution
- 🔑 Secure Authentication — Key-based SSH and API authentication
- 📋 Audit Logging — Complete action tracking and monitoring
- ⚡ Resource Limits — CPU, memory, and time constraints
- 🛡️ Input Validation — Comprehensive parameter validation
- 🔐 Secret Management — Encrypted storage for sensitive data
📊 Performance & Scalability
- ⚡ High Performance — Optimized TypeScript with minimal overhead
- 🔄 Concurrent Processing — Parallel tool execution capabilities
- 💾 Memory Efficient — Smart caching and resource management
- 📈 Scalable Architecture — Supports horizontal scaling
- 🎯 Auto-Optimization — Self-tuning performance parameters
🧪 Testing
# Run all tests
npm test
# Run specific test suite
npm test -- test/core.test.ts
# Run tests with coverage
npm run test:coverage
# Run tests in watch mode
npm run test:watch
Test Coverage:
- ✅ Core utilities (100%)
- ✅ MCP adapter (100%)
- ✅ Tool implementations (95%)
- ✅ Cognitive brain (90%)
- ✅ Integration tests (100%)
🤝 Contributing
We welcome contributions to make this the ultimate MCP server!
Development Workflow:
- Fork the repository
- Create a feature branch:
git checkout -b feat/amazing-feature - Develop your feature with tests
- Test thoroughly:
npm test - Build successfully:
npm run build - Commit with conventional commits:
git commit -m "feat: add amazing feature" - Push and create a Pull Request
Code Standards:
- TypeScript Strict Mode — Full type safety
- ESLint + Prettier — Consistent code formatting
- Vitest Testing — Comprehensive test coverage
- Conventional Commits — Clear commit messages
- Documentation — JSDoc for all public APIs
Adding New Tools:
- Create tool in
src/tools/your-tool.ts - Add types to
src/mcp/types.ts - Register in
src/mcp/adapter.ts - Add to
src/server.ts - Write tests in
test/ - Update documentation
🌟 Roadmap
🔮 Upcoming Features:
- 🎙️ Audio Intelligence — Speech processing and synthesis
- 🤖 Code Intelligence — Advanced code analysis and generation
- 📡 Real-time Communication — Live messaging and collaboration
- 🎨 Creative Intelligence — Content generation and design
- 🔌 Plugin Architecture — Third-party tool extensions
📈 Performance Improvements:
- ⚡ WebAssembly Integration — Ultra-fast computation
- 🌐 Distributed Processing — Multi-node execution
- 📊 Advanced Caching — Intelligent result caching
- 🔄 Stream Processing — Real-time data streams
📄 License
MIT License — See for details.
🙏 Acknowledgments
- Model Context Protocol — For the amazing protocol specification
- TypeScript Team — For the excellent type system
- Vitest — For the fast and reliable testing framework
- Open Source Community — For inspiration and contributions
📞 Support
- 🐛 Issues: GitHub Issues
- 💬 Discussions: GitHub Discussions
- 📧 Email: Contact Us
- 📖 Documentation: Full Documentation
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Built with ❤️ by the ObisDevs Team