The Gopher & Gemini MCP Server is a modern cross‑platform Model Context Protocol server that enables AI assistants to explore and interact with both Gopher and Gemini resources safely and efficiently. By bridging Gopherspace and Geminispace, it supports AI agents in discovering unique content, communities, and tools across vintage and contemporary protocols. Built with the FastMCP framework and contemporary Python practices, it delivers secure gateways, TLS encryption, and robust content filtering to guard against unsafe content. The server exposes two MCP tools, gopher_fetch and gemini_fetch, for comprehensive protocol coverage. It offers full Gopher support (menus, text, search, and binaries) and a complete Gemini implementation with gemtext parsing, TLS security, and status-code handling. Security is reinforced with TOFU certificate validation and optional Gemini client certificates, along with timeouts, size limits, and host allowlists. Responses are structured JSON tailored for AI consumption, enabling reliable parsing and reasoning by LLMs. The project prioritizes cross-platform compatibility (Windows, macOS, Linux), asynchronous I/O, and performance optimizations, and includes extensive tests, documentation, and CI/CD pipelines. Claude is cited as an example audience.