Rushhaabhhh/MCP-Server

Model Context Protocol (MCP) Server

This project is a lightweight, standardized bridge that connects Claude and other LLMs to real-world APIs through Anthropic's Model Context Protocol (MCP). This server enables seamless integration between AI applications and external data sources without requiring custom integration work for each API.

Project Overview

The MCP Server implements Anthropic's open standard protocol to expose multiple API capabilities (tools, resources, and prompts) through a unified interface. This allows any MCP-compatible AI application to interact with various external services including financial data, weather information, news feeds, and GitHub repositories.

Postman Collection : Postman Colletion Link

Video not included as the OpenAI API key became invalid before the loom video could be recorded

Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   Claude/LLM    │◄──►│   MCP Server     │◄──►│  External APIs  │
│   Application   │    │   (This Project) │    │                 │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                              │
                              ▼
                    ┌──────────────────┐
                    │   API Handlers   │
                    │  ┌─────────────┐ │
                    │  │ Finance API │ │
                    │  │ Weather API │ │
                    │  │ News API    │ │
                    │  │ GitHub API  │ │
                    │  └─────────────┘ │
                    └──────────────────┘

Features

Multi-API Support

• Financial Data: Real-time stock prices, market data, and financial analytics
• Weather Services: Current conditions, forecasts, and weather alerts
• News Integration: Latest news articles, headlines, and content aggregation
• GitHub Integration: Repository data, commits, issues, and developer statistics

MCP Protocol Implementation

• Standardized tool exposure through MCP specification
• Resource management for external API data
• Prompt templates for common API interactions
• Unified request/response handling

Intelligent Request Routing

• Mixed Prompt Handler (/mcp): Processes complex queries spanning multiple APIs
• Dedicated Endpoints: Individual API access points for specific use cases
• Smart routing based on user intent and query analysis

Performance & Reliability

• Caching Strategies: Redis-based caching for frequently accessed data
• Rate Limiting: Built-in protection against API quota exhaustion
• Error Handling: Robust error recovery and graceful degradation
• Comprehensive Logging: Detailed request/response logging for debugging

Developer Experience

• Simple JSON-based request format
• Consistent API responses across all endpoints
• TypeScript implementation for type safety
• Comprehensive documentation and examples

Tech Stack

Core Technologies

• Node.js with TypeScript: Server runtime and type safety
• Express.js: Web framework and routing
• MCP Protocol: Anthropic's standardized AI-API bridge specification

External API Integrations

• Financial APIs: Yahoo Finance
• Weather APIs: OpenWeatherMap
• News APIs: NewsAPI
• GitHub API: GitHub Personal Access Token (PAT)

Infrastructure

• Redis: Caching layer for performance optimization
• Docker: Containerization for easy deployment
• Prometheus: Metrics collection and monitoring
• Grafana: Visualizes the metrics collected by Prometheus

Project Structure

src/
├── mcpHandler/           # MCP protocol handlers
│   ├── financeHandler.ts
│   ├── githubHandler.ts
│   ├── mcpHandler.ts     # Mixed prompt processor
│   ├── newsHandler.ts
│   └── weatherHandler.ts
├── routes/               # API route definitions
│   ├── financeRoute.ts
│   ├── githubRoute.ts
│   ├── mcpRoute.ts       # Main MCP endpoint
│   ├── newsRoute.ts
│   └── weatherRoute.ts
├── services/             # External API service clients
│   ├── financeService.ts
│   ├── githubService.ts
│   ├── mcpService.ts
│   ├── newsService.ts
│   ├── openai.ts
│   └── weatherService.ts
├── utils/                
│   └── redis.ts          # Redis configuration
└── index.ts              # Application entry point

API Endpoints

Mixed Prompt Handler

POST /mcp

Processes complex queries that may require data from multiple APIs.

Individual API Endpoints

POST /news      - News and article queries
POST /github    - GitHub repository and developer data
POST /weather   - Weather conditions and forecasts
POST /finance   - Financial data and market information

Request Format

All endpoints accept a simple JSON payload:

{
  "userMessage": "Your query or request here"
}

Running locally

The entire system can be run locally with a single command using Docker Compose.

# Build and run with Docker Compose
docker-compose up --build

# Run specific services
docker-compose up redis mcp-server

Configuration

Environment Variables

# Server Configuration
PORT=3000

# Redis Configuration
REDIS_URL=redis://localhost:6379

# API Keys
OPENAI_API_KEY=your_openai_key
ALPHA_VANTAGE_API_KEY=your_finance_key
WEATHER_API_KEY=your_weather_key
NEWS_API_KEY=your_news_key
GITHUB_TOKEN=your_github_token

Usage Examples

Financial Data Query

curl -X POST http://localhost:3000/finance \
  -H "Content-Type: application/json" \
  -d '{"userMessage": "What is the current price of AAPL stock?"}'

Mixed Query (Multiple APIs)

curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{"userMessage": "What is the weather like in New York and what are the latest tech news?"}'

GitHub Repository Analysis

curl -X POST http://localhost:3000/github \
  -H "Content-Type: application/json" \
  -d '{"userMessage": "Show me the latest commits in the React repository"}'