Nodejs MCP Server With Tools And Resources
MCP server: Nodejs MCP Server With Tools And Resources
Installation
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Documentation
π‘οΈ What is MCP?
The Model Context Protocol is a standardized way for AI applications to interact with external tools and data sources. This server enables:
π€ AI Integration: Direct integration with Claude, ChatGPT, and other AI models
π§ Tool Execution: AI can perform calculations and data operations
π Data Access: AI can query and analyze your data
π Context Preservation: Maintain state across AI interactions
π Features
π οΈ Tools (Executable Functions)
Calculator Tool: Perform mathematical operations (add, subtract, multiply, divide)
Data Retrieval Tool: Get specific records by ID and type
Data Creation Tool: Create new users, products, and orders
Advanced Validation: Input validation for all tool operations
π Resources (Data Access)
Users Resource: Access user data collection
Products Resource: Access product catalog
Orders Resource: Access order history
Settings Resource: Server configuration and system settings
πΎ Data Management
In-Memory Data Store: Fast, efficient data storage using Maps
CRUD Operations: Complete Create, Read, Update, Delete functionality
Search Capabilities: Query data across all collections
Statistics Generation: Real-time data analytics and metrics
ποΈ Architecture
MCP Server Components:
π Factory Pattern β Server Creation & Configuration
π§ Tools Handler β Executable Functions (calculate, get_data, create_data)
π Resources Handler β Data Access (users, products, orders, settings)
πΎ Data Service β CRUD Operations & In-Memory Storage
β
Validation Utilities β Input Validation & Error Handling
π§ͺ Test Suite β Comprehensive Testing Coverage
π Quick Start Prerequisites Node.js 16+ npm or yarn
Running the Server
npm start
Run tests
npm test
π API Endpoints
httpGET / # Welcome message
GET /health # Server health check
GET /mcp/info # MCP server information
Tools Endpoints
httpGET /tools/list # List available tools
POST /tools/call # Execute a tool
Resources Endpoints
httpGET /resources/list # List available resources
POST /resources/read # Read from a resource
π Security Features
CORS Protection: Configurable cross-origin resource sharing
Helmet Integration: Security headers for enhanced protection
Input Validation: Comprehensive validation for all inputs
Error Handling: Proper error responses without data leakage
Request Size Limits: Protection against large payload attacks
π Performance Features
Factory Pattern: Efficient server instance creation
In-Memory Storage: Lightning-fast data operations
Async/Await: Non-blocking operations throughout
Singleton Services: Optimized memory usage
Modular Architecture: Easy to extend and maintain
π Support
π§ Issues: GitHub Issues
π Documentation: https://modelcontextprotocol.io/docs/concepts/architecture
π¬ Discussions: GitHub Discussions
β If this project helped you, please give it a star on GitHub!
