About
A Model Context Protocol server that automates, manages, and debugs openMSX emulator instances, offering tools for media handling, BASIC development, CPU debugging, video control, and vector‑DB integration.
Capabilities

MCP‑openMSX is a Model Context Protocol server that transforms the classic MSX emulator into a first‑class AI development partner. By exposing a rich set of tools and resources over the MCP interface, it lets modern assistants such as Claude or GitHub Copilot launch, configure, and interact with openMSX instances in a declarative way. The server bridges the gap between vintage hardware and contemporary AI workflows, enabling developers to prototype, debug, and document MSX software without leaving their familiar coding environment.
The server solves the practical problem of automating retro‑computing tasks that would otherwise require manual console commands or custom scripts. It offers an emulator control layer that can start and stop emulation sessions, apply configuration files, and replay recorded timelines. Media management tools allow users to mount ROM cartridges, floppy disks, or cassette tapes directly from the AI prompt. For developers writing BASIC code, MCP‑openMSX provides specialized commands that compile and load programs on the fly, while also offering full CPU debugging capabilities—breakpoints, memory inspection, and step execution—all accessible through the same protocol.
Key features include video control (VDP register manipulation and screen capture), memory operations (read/write to RAM, VRAM, I/O ports), and automation utilities such as keyboard input simulation and savestate handling. A notable addition is an embedded vector database that stores embeddings of MSX documentation, allowing the AI to perform retrieval‑augmented generation (RAG) queries against local resources. The hybrid access mode supports both STDIO and HTTP transports, making the server flexible for command‑line use or web‑based integration.
Real‑world scenarios benefit from this toolset: a developer can ask the AI to “compile BASIC program X, load it into an MSX‑1 instance, set a breakpoint at line 42, and capture the screen after execution.” The AI can then return the captured image and a memory dump, all without manual emulator configuration. Game developers may use it to automate regression tests for legacy titles, while educators can generate interactive tutorials that run directly in an emulated environment. The server’s ability to query its vector database means the AI can pull up relevant MSX hardware documentation on demand, providing context‑aware assistance.
In essence, MCP‑openMSX turns an 8‑bit emulator into a programmable service that fits seamlessly into AI‑driven development pipelines. It unlocks automated testing, rapid prototyping, and contextual knowledge retrieval for the MSX ecosystem—offering developers a powerful, protocol‑compliant bridge between vintage hardware and modern AI assistants.
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