enterprise-oauth-mcp

Escobar-Luis/enterprise-oauth-mcp

3.1

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The Model Context Protocol (MCP) server is designed to facilitate secure and efficient communication between various components in a distributed system, leveraging OAuth 2.1 for authentication and ChromaDB for semantic caching.

Project 1.1: Enterprise OAuth 2.1 + MCP Server

⚠️ CRITICAL: CLAUDE SETUP REQUIRED BEFORE STARTING

Set Claude's output style to "guided learning" mode before beginning development

This ensures:

  • Authentic learning experience maintains code ownership
  • Prevents over-reliance on AI-generated solutions
  • Documents genuine problem-solving process
  • Creates valuable learning content

Project Overview

Time Investment: 3-4 hours
Enhanced BMad Workflow: @analyst → @architect → @AI-architect → @dev → walkthrough

Enhanced Deliverable

Production-ready MCP server with OAuth 2.1 + Resource Indicators, enterprise-grade authentication flow, and intelligent error handling using Google Slides API integration.

Key Learning Objectives

  • Enterprise OAuth 2.1: Resource Indicators and JIT provisioning
  • Vector Database Integration: ChromaDB for semantic caching
  • Agent-as-a-Tool Patterns: MCP+A2A protocol bridging
  • Cost-Aware Development: Semantic caching for 15-30% cost reduction

Free-Tier Implementation Stack

  • Core Services: MCP Framework (open source), ChromaDB (unlimited local), OAuth 2.1 (custom implementation), Gemini API (500 requests/day free)
  • Authentication: Google OAuth (free tier quotas), JWT tokens (open source libraries), Environment variables (secure credential management)

Setup Instructions

# Clone repository
git clone https://github.com/yourusername/enterprise-oauth-mcp
cd enterprise-oauth-mcp

# Install dependencies
npm install

# Set up environment variables
cp .env.example .env
# Add your OAuth credentials and API keys

# Initialize ChromaDB for semantic caching
npm run setup-vector-db

# Run development server
npm run dev

# Run tests
npm test

Implementation Guide

Enhanced BMad Method Implementation:

  1. @analyst Phase (30 min): Security requirements analysis and OAuth 2.1 research
  2. @architect Phase (45 min): MCP server architecture design with enterprise auth flow
  3. @AI-architect Phase (45 min): AI integration strategy for cost optimization and intelligent routing
  4. @dev Phase (90-150 min): Implementation with Claude Code assistance and real-time monitoring

Success Criteria

Technical Deliverables:

  • ✅ Working OAuth 2.1 server with Resource Indicators
  • ✅ Production-ready MCP server with authentication
  • ✅ ChromaDB semantic cache integration
  • ✅ Enterprise security validation and testing
  • ✅ Cost optimization achieving 15-30% reduction

Learning Validation:

  • ✅ Can explain OAuth 2.1 vs OAuth 2.0 differences
  • ✅ Understands MCP protocol architecture and implementation
  • ✅ Demonstrates enterprise security best practices
  • ✅ Shows cost-conscious AI development patterns

Learning Documentation

  • Implementation challenges and solutions documented in docs/learning-notes.md
  • Problem-solving process recorded for content creation
  • Key insights captured for future reference

Content Creation

This project will generate:

  • Technical walkthrough video
  • Implementation blog post
  • Social media content
  • Portfolio showcase material