Building DevTo-MCP: Bridging Forem API and AI Assistants with Google Gemini

This is a submission for the Built with Google Gemini: Writing Challenge As software developers, DEV Community (dev.to) and the wider Forem ecosystem have increasingly become our digital home. It's the place we go for "React best practices", solutions to obscure bugs, and career advice. But as our workflows become more tightly integrated with AI assistants, a gap has emerged: why can't our AI tools natively interact with this vibrant community? Why couldn't I tell my AI assistant to "list popular Rust articles on DEV," or "take this markdown draft and publish it directly to my DEV account"? To solve this, I built DevTo-MCP . It's an open-source Model Context Protocol (MCP) server that acts as a secure, type-safe bridge between the Forem API and AI assistants. And throughout this journey of architectural design, debugging, and implementation, Google Gemini was my constant pair-programming companion. What I Built with Google Gemini DevTo-MCP is essentially a translation layer. The Model