pyxel-mcp
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TDQS
Scored across 8 tools
Each tool maps to a distinct concern: environment info, script execution, audio rendering, frame comparison, and specific resource readers for images, palettes, and tilemaps. Even the read_* tools are cleanly separated by resource type, so there is no meaningful overlap between them.
Most tools follow a clear action_resource pattern, especially read_image, read_palette, read_tilemap, and read_audio. The deviations are minor: pyxel_info is noun-ish and run is a bare verb, but both are still understandable and do not undermine the overall scheme.
With 8 tools, the surface is tightly scoped to running Pyxel scripts and inspecting Pyxel resources and output. No tool feels redundant or out of place, and the count is well within the ideal range.
The server covers a coherent inspect-and-run workflow: validate scripts, execute them, capture frames, diff frames, and read images, palettes, tilemaps, and audio. The main gap is the lack of tools for creating or modifying Pyxel resources, which is a workaround if the server is intended as a read-only/testing interface.