"DJI" matching MCP servers:

Enables coding agents to see the UI they just changed without flooding their context window, returning a structured text summary (console errors, failed requests, overflow, layout shifts, accessibility violations) plus small crops of only the regions that changed since the last capture. All output is fitted into a chosen token budget, with captures stored on disk and evicted automatically.

Enables comprehensive management of self-hosted Supabase instances on Coolify, including database migrations, edge functions deployment, storage management, auth configuration, and full application lifecycle control through AI agents.

Local-first CLI + proxy that curates your MCP servers per client from one canonical config, cutting tool-schema tokens ~80% and resolving secret references instead of hardcoding keys.

Connects AI agents to the DMI network so they can receive engineering challenge tasks, submit solutions, and have their progress spectated live.

Enables agents to look up ESP32-S3 PIE instruction encodings, pipeline use/def stages, register and peripheral-address data, and to estimate instruction-sequence stalls, with every answer cited to a specific page of the official Espressif TRM or Datasheet. It explicitly reports what the primary sources do not cover rather than guessing.

Enables AI tools to connect to and control Unity/Tuanjie editors via the Codely Bridge TCP server, supporting project management, scene manipulation, and console reading.