ProdE MCP Server bridges the gap between your codebase and AI coding assistants by providing deep contextual understanding of your repositories. Instead of generic code suggestions, it returns AI responses that reflect your real project structure, patterns, and history across multiple codebases. It enables cross-repository querying to reveal how components span frontend, backend, and mobile services, improving accuracy and reducing hallucinations. Core capabilities include cross-repository insights, improved AI accuracy through project-aware context, and contextual code understanding that uses actual codebases rather than examples. The server supports secure integration with token-based authentication and encrypted communication, and it is compatible with 8+ popular coding assistants and editors. Use cases include onboarding and system understanding across 15+ microservices, cross-repo API integration discovery, multi-repo impact analysis for refactors, distributed system bug investigation, and cross-project architecture pattern analysis. Quick Start covers connecting a Git provider, adding repositories to the knowledge layer, retrieving an MCP authentication token, and selecting integrations. Configuration examples show how to register the MCP server for Cursor, VS Code Copilot, Cline, Windsurf, and OpenHands.