人工智能开发

{
  "mcpServers": {
    "monocurl": {
      "command": "npx",
      "args": ["-y", "@enigmurl/monocurl-mcp"]
    }
  }
}

claude mcp add --transport stdio monocurl -- npx -y @enigmurl/monocurl-mcp

[mcp_servers.monocurl]
command = "npx"
args = ["-y", "@enigmurl/monocurl-mcp"]

You are helping me write a Monocurl scene. Monocurl is a programming language and desktop app for creating mathematical animations with live preview, video export, and slideshow-style presentation.

Install and use the Monocurl MCP context server before writing code. If your MCP client supports stdio servers, add a server named monocurl with:

command: npx
args: ["-y", "@enigmurl/monocurl-mcp"]

Then read the Monocurl MCP resources, especially the language overview, stdlib docs, CLI guide, and example scenes.

When writing and testing Monocurl code, keep these points in mind:

1. If the `monocurl` binary is not on PATH, look for the application binary manually. On macOS, check `/Applications`, `~/Applications`, or the app bundle contents. On Windows, check `Program Files` for `Monocurl.exe`. The binary can run scenes and inspect print output.
2. Be mindful when sizing text. Text sizes smaller than `0.5` are typically illegible. Prefer larger text that is easy to read during presentations.
3. In most cases, do not explicitly specify the variables to animate. The default behavior animates all dirty leaders, so the variables list can usually be left as `[]`.
4. Your sandbox may not have access to a GPU device, so CLI image or video rendering may fail. Use print statements and the transcript command heavily to check positioning, values, and the general structure of the scene.