A3E Google Cloud - Enterprise AI Assistant Platform

Role: Developer

A sophisticated enterprise-grade AI assistant platform that seamlessly integrates Google Workspace with advanced LLM capabilities through custom-built Model Context Protocol (MCP) server architecture. Features a revolutionary documentation-driven development approach with Claude.md workflow integration and 20+ production-ready tools that can be deployed with zero downtime.

Impact & Results

20+ production tools covering all Google Workspace

Zero-downtime capability additions

Enterprise-ready Google Chat integration

Persistent conversation memory with PostgreSQL

Tool-agnostic design with runtime discovery

Technical Architecture

Industry-leading MCP implementation LangChain agent orchestration Claude.md documentation-driven development Dynamic context injection system Google Chat Cards V2 support Comprehensive testing framework

Challenges & Solutions

Challenge 1

Integrating multiple Google Workspace services with AI

Solution 1

Dynamic MCP server system with runtime tool management

Challenge 2

Building reliable MCP server infrastructure

Solution 2

HTTP wrapper transforming stdio MCP to RESTful services

Challenge 3

Managing dynamic tool loading without restarts

Solution 3

Claude.md workflow with 60+ documentation files

Challenge 4

Ensuring consistent AI behavior across iterations

Solution 4

Systematic prompt tuning with behavioral validation

Challenge 5

Enterprise-grade security and compliance

Solution 5

Shared Docker image strategy for consistency