Geometric
STDIOMCP server for generating geometric images using Asymptote code
MCP server for generating geometric images using Asymptote code
An MCP (Model Context Protocol) server for generating precise geometric images using Asymptote. This server allows AI models compatible with MCP to request image generation by providing Asymptote code.
Before using this server, please ensure you have the following installed:
asy command-line tool must be installed and accessible in your system's PATH.
brew install asymptotesudo apt-get install asymptotebin directory is added to your PATH.asy -version on startup and print an error if it's not found.To install this package globally (if you intend to run connect command directly) or as a dependency in another project:
npm install @luorivergoddess/mcp-geo
If you've cloned the repository and want to run it locally for development:
npm installnpm run buildOnce the package is installed (e.g., globally or linked locally), you can start the MCP server using the connect command provided by this package. This command is intended to be invoked by an MCP client.
npx @luorivergoddess/mcp-geo connect
Or, if you have cloned the repository and built it:
node dist/cli.js
The server will start and listen for JSON-RPC messages on stdin/stdout, using the @modelcontextprotocol/sdk.
Configure your MCP-compatible client (e.g., VS Code with Copilot Agent Mode, Claude Desktop) to use this server. This usually involves telling the client how to start the server, which would be the npx @luorivergoddess/mcp-geo connect command.
renderGeometricImageThe server exposes one primary tool:
renderGeometricImage{ "type": "object", "properties": { "asyCode": { "type": "string", "description": "A string containing complete and valid Asymptote code to be compiled. The server executes this code directly. Ensure necessary `import` statements (e.g., `import graph;`) and settings (e.g., `unitsize(1cm);`) are included within this code block if needed." }, "outputParams": { "type": "object", "description": "Optional parameters to control the output image.", "properties": { "format": { "type": "string", "enum": ["svg", "png"], "description": "The desired output image format. \"svg\" for scalable vector graphics (recommended for diagrams and plots), \"png\" for raster graphics. Defaults to \"svg\" if not specified." }, "renderLevel": { "type": "number", "description": "For PNG output only. Specifies the rendering quality (supersampling level for antialiasing). Higher values (e.g., 4 or 8) produce smoother images but take longer to render and result in larger files. Asymptote default is 2. This server defaults to 4 if not specified and format is \"png\". Ignored for SVG output." } } } }, "required": ["asyCode"] }
CallToolResult containing an array of content parts.
ImageContent part with:
type: "image"mimeType: "image/svg+xml" or "image/png"data: "<base64_encoded_image_data>"TextContent part with logs from Asymptote.McpError.Example renderGeometricImage call (JSON for arguments field):
{ "asyCode": "draw(unitsquare); fill(unitsquare, lightblue);", "outputParams": { "format": "png", "renderLevel": 4 } }
Client Compatibility Notes:
image/svg+xml (e.g., certain versions or configurations of "Cherry Studio" as reported), please ensure you request the png format by including "outputParams": { "format": "png" } in your tool call arguments. The server defaults to svg if no format is specified.luorivergoddess
ISC