Dazzle

# Dazzle > Cloud stages for AI agents and live streaming. > https://dazzle.fm Dazzle gives you cloud stages — isolated browser environments that render and broadcast your content. Two tiers: GPU (NVIDIA RTX, hardware WebGL, 30 FPS shaders) and CPU (software OpenGL, lighter content). All at 1280x720 @ 30 fps. ## Docs - [Full LLM Reference](https://dazzle.fm/llms-full.txt): Complete getting started, CLI reference, content guide — all in one file - [Content Authoring Guide](https://dazzle.fm/guide.md): Detailed content guide with GPU vs CPU tiers, performance tips, design guidance - [CLI Reference](https://dazzle.fm/cli-reference.txt): Full command listing - [Stream Examples](https://github.com/dazzle-labs/stream-examples): Open-source example stages ## Quick Start ```bash curl -sSL https://dazzle.fm/install.sh | sh # install (Win: irm dazzle.fm/install.ps1 | iex) dazzle login # authenticate (or DAZZLE_API_KEY for CI) dazzle s new my-stage && dazzle s up # create + activate dazzle s sync ./my-app --watch # push content (auto-refresh on change) dazzle s ss -o preview.png # screenshot to verify dazzle dest attach my-twitch # stream to Twitch/Kick/Restream/custom RTMP ``` ## MCP Support `dazzle mcp` starts a local MCP server on stdin/stdout — works with Claude Desktop, Claude Code, VS Code, Cursor, and any MCP client: ```json { "mcpServers": { "dazzle": { "command": "dazzle", "args": ["mcp"] } } } ``` **Tools:** `cli`, `screenshot`, `write_file`, `read_file`, `edit_file`, `list_files`, `sync`, `guide`. Workspace tools (`write_file`, `read_file`, `edit_file`, `list_files`, `sync`) operate on `~/.dazzle/stages/<stage-id>/` on the host. This bridges sandboxed environments (e.g. Claude Desktop) where the agent's bash can't share files with the CLI process. **Limitations vs full CLI access:** No shell/exec — can't run build tools (npm, npx, tailwi