Build with AI

View as Markdown

Your AI coding tool can read every page of these docs as Markdown, and the StreamArena MCP server lets it start, check and dry-run a game while it writes it. Both give the AI the same rules the runtime and the review use, so it stops guessing at the API.

The docs as Markdown

On streamarena.so	What it is
`/llms.txt`	An index of the docs, the site and the blog, in the llms.txt format
`/llms-full.txt`	Every docs page in one file, to paste into a chat or a project's context
`/docs/first-game.md`	Any docs page as Markdown: add `.md` to its path. The docs home is `/docs/index.md`

Every page also has a View as Markdown link under its title.

The StreamArena MCP server

The MCP server runs on your machine and gives your AI tool ten tools: the docs, the SDK types, StreamArena's own games as examples, a starter game for each input, a game checker, a question-set checker and a dry run. It reads local files only. It makes no network requests and writes nothing; your AI tool saves the game.

It lives in the mcp folder of the playcade-games repo. Install it once:

cd playcade-games/mcp && npm install

Then add it to Claude Code:

claude mcp add streamarena -- node /path/to/playcade-games/mcp/server.mjs

Cursor, Claude Desktop and other MCP clients take the same server in their MCP settings:

{
  "mcpServers": {
    "streamarena": { "command": "node", "args": ["/path/to/playcade-games/mcp/server.mjs"] }
  }
}

The tools

Tool	What it does
`list_docs`, `read_doc`, `search_docs`	These docs as Markdown, by page or by search
`sdk_types`	The SDK as TypeScript declarations: every field of `Playcade.game()` and the round
`list_examples`, `get_example`	StreamArena's own games, with what each one is a good model for
`new_game`	A starter game for guess, vote or team that already follows the review rules and takes question sets
`check_game`	The review rules applied to a file: no network, a kebab-case id, 20 to 60 second rounds, a reveal, the house player, escaped names, built-in questions that pass the game's own `item` check. Each finding says what to change
`check_set`	A host's question set checked against a game with the runtime's own check, with a reason for every question that fails. It can play the set too
`dry_run`	Plays rounds with pretend players on every platform in about a second, with the built-in questions or a question set: what is on screen, who scored and when, the reveal and the scoreboard

The dry run uses the real runtime's answer matching. Run it with 1 or 2 players to see the house player step in, and with 20 or more to see a busy stream.

A first prompt

Use the streamarena MCP server. Make a guess game called Song Snippet: a lyric
on screen, chat types the song. Start from new_game, read the matching and
timing guides, then run check_game and dry_run until there are no errors.