@luorivergoddess/mcp-geo
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.
Prerequisites
Before using this server, please ensure you have the following installed:
- Node.js: Version 16.x or higher is recommended. You can download it from nodejs.org.
- Asymptote: This is a critical dependency. The
asy
command-line tool must be installed and accessible in your system's PATH.- Visit the Asymptote official website for download and detailed installation instructions.
- Common installation methods:
- macOS (via Homebrew):
brew install asymptote
- Debian/Ubuntu Linux:
sudo apt-get install asymptote
- Windows: Often installed as part of TeX distributions like MiKTeX or TeX Live. Ensure the Asymptote
bin
directory is added to your PATH.
- macOS (via Homebrew):
- The server will attempt to check for
asy -version
on startup and print an error if it's not found.
Installation
To install this package globally (if you intend to run connect
command directly) or as a dependency in another project:
If you've cloned the repository and want to run it locally for development:
- Clone the repository.
- Install dependencies:
npm install
- Build the project:
npm run build
Usage
Starting the Server
Once 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.
Or, if you have cloned the repository and built it:
The server will start and listen for JSON-RPC messages on stdin/stdout, using the @modelcontextprotocol/sdk
.
MCP Client Integration
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.
Available Tool: renderGeometricImage
The server exposes one primary tool:
- Name:
renderGeometricImage
- Description: Renders an image from Asymptote code.
- Input Schema:Copy
- Output:
The tool returns a
CallToolResult
containing an array of content parts.- If successful, it includes an
ImageContent
part with:type: "image"
mimeType: "image/svg+xml"
or"image/png"
data: "<base64_encoded_image_data>"
- It may also include a
TextContent
part with logs from Asymptote. - If an error occurs, it throws an
McpError
.
- If successful, it includes an
Example renderGeometricImage
call (JSON for arguments
field):
Client Compatibility Notes:
- Some MCP clients may have limitations on supported image MIME types.
- For instance, if you are using this server with a client that does not support
image/svg+xml
(e.g., certain versions or configurations of "Cherry Studio" as reported), please ensure you request thepng
format by including"outputParams": { "format": "png" }
in your tool call arguments. The server defaults tosvg
if no format is specified.
Author
luorivergoddess
License
ISC
You must be authenticated.
Tools
An MCP server that enables AI models to generate precise geometric images by providing Asymptote code, supporting both SVG and PNG output formats.
Related MCP Servers
- AsecurityAlicenseAqualityEnables the generation of images using Together AI's models through an MCP server, supporting customizable parameters such as model selection, image dimensions, and output directory.Last updated -14JavaScriptMIT License
- AsecurityFlicenseAqualityAn advanced MCP server for Cline that leverages EverArt's AI models to generate vector and raster images, supporting flexible storage, multiple formats, and robust image generation capabilities.Last updated -31JavaScript
- AsecurityAlicenseAqualityA MCP server that enables Claude and other MCP-compatible assistants to generate images from text prompts using Together AI's image generation models.Last updated -12TypeScriptMIT License
- -securityAlicense-qualityA FastMCP server implementation that provides a standardized interface for accessing AI models hosted on Replicate's API, currently supporting image generation with customizable parameters.Last updated -2PythonMIT License