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davidadevore

companion-editor-mcp

by davidadevore

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-capable AI agents such as Claude, Codex, Gemini CLI, Cursor and Zed to design and manage a Stream Deck by reading layouts, building pages and keys, setting icons and wallpapers, managing profiles and taking screenshots to verify their own work. Access is governed by read-only, edit-layout and full-control levels, with approval prompts before any tool runs something on the user's computer.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to inspect and safely control OBS Studio over obs-websocket v5, exposing scenes, inputs, filters, outputs and video settings as read and write tools that default to dry runs and refuse changes while live unless explicitly confirmed. It also provides Source Record and IRL readiness checks, a BRB auto-switcher, and a scene timeline log for cutting clips from VODs.
      17
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables supervised control of OBS Studio over obs-websocket v5, including scene and input management, audio/filter toggles, and starting or stopping streams, recordings, replay buffer, and virtual camera, with dry-run writes and redacted secrets. It also supports a rate-limited chat co-producer for Twitch, YouTube, Kick, and X that maps privileged viewer commands to OBS scene changes.
      475 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables an AI agent to read and configure OpenDeck stream controller setups through natural language, covering keys, dials, profiles, Multi and Toggle Actions, app-based profile switching, and plugin management. Every change is staged, previewed as a diff, applied only after confirmation, and backed up so it can be undone.
      33
      47 PyPI
      1
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI assistants to control and automate OBS Studio via natural language, covering scenes, sources, audio, recording, streaming, transitions, filters, media playback, diagnostics, and multi-step workflows over the OBS WebSocket protocol.
      89
      MIT