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MCP Servers

AI Integration Toolkit for Claude & LLMs AI Production Ready

๐Ÿ”Œ Project Overview

A comprehensive collection of Model Context Protocol (MCP) servers enabling seamless integration between Claude, ChatGPT, and other LLMs with enterprise systems and data sources. Each server is designed as a production-ready tool exposing business logic to AI agents.

  • 6 Production MCP Servers - Each addressing specific integration needs
  • Node.js/TypeScript - Built with modern JavaScript stack
  • AI-Ready Tools - Expose business operations to Claude and LLMs
  • Authentication & Security - Enterprise-grade access control
  • Comprehensive Testing - Unit and integration tests included
  • Production Deployment - Ready for immediate use

๐ŸŽฏ MCP Servers Collection

Six specialized servers enabling AI integration across different systems:

๐Ÿ”ง DevOps Server
Azure DevOps integration for work item management, project tracking, and development workflow automation.
Work Items Projects Teams Automation
๐Ÿ—„๏ธ MSSQL Server
Direct SQL Server integration for querying databases, executing operations, and data manipulation through natural language.
Queries DDL/DML Analysis Reporting
๐Ÿ“ˆ AlphaVantage Server
Real-time stock market data integration for financial analysis, investment recommendations, and market insights.
Stock Data Analysis Quotes Charts
๐Ÿค– H2O AI Server
H2O.ai integration for machine learning, model evaluation, and predictive analytics through AI interaction.
ML Models Predictions Analysis Training
๐Ÿฆ™ Ollama Server
Local LLM integration for running open-source models, enabling on-premise AI capabilities without external APIs.
Local Models Inference Embeddings Fine-tuning
๐Ÿ’ฌ Question Relay Server
Intelligent question routing and relay system for distributing queries to appropriate handlers and services.
Routing Delegation Context Responses

๐Ÿ’ก Key Features

  • ๐Ÿ”—
    Model Context Protocol (MCP) - Standard protocol for AI tool integration with Claude and other LLMs
  • ๐Ÿ› ๏ธ
    Enterprise Integration - Connect Claude directly to your systems (DevOps, SQL, APIs)
  • ๐Ÿ”
    Secure Authentication - PAT tokens, API keys, and connection management
  • โšก
    Fast Implementation - Node.js/TypeScript for rapid development and deployment
  • ๐Ÿงช
    Production-Grade Testing - Comprehensive test coverage with Jest and debugging
  • ๐Ÿ“š
    Well-Documented - Clear setup instructions, examples, and API documentation
  • ๐Ÿš€
    Ready to Deploy - Containerizable, cloud-ready implementations
  • ๐Ÿ”„
    Modular Design - Use individual servers or combine multiple for complex workflows

๐Ÿ—๏ธ Architecture & Technology

Stack Overview

Runtime & Language

Node.js v18+ TypeScript Modern ES Modules

MCP & Protocol

Model Context Protocol Claude Integration LLM Tools

Integrations

Azure DevOps SQL Server REST APIs

Testing & Quality

Jest Debugging Coverage

How MCP Servers Work

  • Tool Definition - Each server defines tools that Claude can call
  • Tool Handler - Implements the business logic for each tool
  • Parameter Validation - Validates input from Claude before execution
  • Context Management - Maintains conversation context across interactions
  • Response Formatting - Returns structured data to Claude
  • Error Handling - Graceful handling of failures with informative messages

๐Ÿš€ Use Cases & Applications

DevOps Automation

"Claude, create a sprint with these user stories" - Let AI orchestrate your DevOps workflows through natural language.

Data Analysis

Query databases naturally: "What are the top 10 customers by revenue?" - Claude executes the SQL and analyzes results.

Financial Intelligence

Real-time stock analysis: "Should I buy APPLE stock?" - Claude analyzes market data and provides insights.

Predictive Analytics

ML model integration: "Predict customer churn" - Claude triggers models and interprets results.

Local AI Processing

Privacy-first processing: Run local LLMs for sensitive operations without external API calls.

Intelligent Routing

Smart delegation: Route questions to appropriate services based on context and content.

๐Ÿ’ป Development Features

Testing Setup

  • Jest Framework - Comprehensive test runner with built-in coverage
  • VSCode Debugging - Press F5 to debug tests directly in your IDE
  • Watch Mode - Auto-run tests on file changes with npm run test:watch
  • Test Coverage - Track coverage metrics for quality assurance
  • CI Integration - Automated testing in pipelines

Development Workflow

  • Environment Configuration - Easy setup with environment variables
  • Hot Reload - Rapid development iteration
  • TypeScript Support - Type-safe development
  • Error Debugging - Clear error messages and stack traces

๐ŸŽ“ What This Project Demonstrates

The MCP Servers collection showcases expertise in:

  • โœ… AI Integration - Deep understanding of LLM tool protocols
  • โœ… System Integration - Connecting diverse enterprise systems
  • โœ… API Design - Well-structured tool interfaces for AI consumption
  • โœ… Security - Authentication, authorization, and data protection
  • โœ… Testing Practices - Comprehensive test coverage and quality assurance
  • โœ… Modern JavaScript - TypeScript, Node.js, best practices
  • โœ… Production Readiness - Deployable, maintainable code
  • โœ… Documentation - Clear setup and usage instructions