One MCP Server Powers Image Generation Across Three Different AI Agents

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A developer has built a single Python-based MCP (Model Context Protocol) server that provides image-generation capabilities to three entirely separate AI clients: Anthropic's Claude Code, a Google ADK Python agent, and a Rust command-line app. The Model Context Protocol works like a universal standard — similar to USB-C — allowing any compatible AI client to discover and call tools from a shared server without duplicating code. The server, built using the FastMCP framework, exposes four tools including text-to-image generation and image editing, all powered by Google's Gemini image model. Clients communicate with the server via standard input/output streams, and the AI-specific logic lives in just one file, making the setup easy to maintain and extend. The project demonstrates how MCP can decouple tool development from individual AI platforms, enabling reusable capabilities across diverse agent frameworks.

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