Interactive Drawing MCP

Name: Interactive Drawing MCP
Author: AaronGoldsmith

@AaronGoldsmith

代码仓库

关于 Interactive Drawing MCP

MCP Server for collaborative drawing with Large Language Models

#tkinter-canvas #mcp-server #python-mcp

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

AaronGoldsmith

配置

暂无标准配置

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代码仓库

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概览

What is Interactive Drawing MCP?

Interactive Drawing MCP is an example Model Context Protocol (MCP) server that provides an interactive drawing interface. It integrates a 16×16 grid UI (built with Tkinter) with AI assistants like Goose, allowing users to toggle cells, retrieve grid state, and persist the drawing across sessions.

How to use Interactive Drawing MCP?

Install from source with pip install -e ., then run the server standalone with interactive-draw-mcp or launch it with Goose via goose session --with-extension "python -m interactive-draw-mcp". Tools are available to start a session, toggle a cell, and get the grid state.

Key features of Interactive Drawing MCP

16×16 grid with toggleable cells (filled/empty)
Clear grid button to reset all cells
Real‑time UI updates via background file watching
Grid state persisted to board_state.json
Three server tools: start session, toggle cell, get grid state

Use cases of Interactive Drawing MCP

Demonstrating an MCP server with a separate graphical UI
Experimenting with AI‑assisted drawing via Goose
Learning how to build MCP extensions that include interactive windows

FAQ from Interactive Drawing MCP

What dependencies does Interactive Drawing MCP require?

It requires Python and Tkinter (typically included with Python). The package is installed from source.

How does the grid state persist across sessions?

The grid state is saved to a JSON file (board_state.json) and reloaded on subsequent runs.

Does Interactive Drawing MCP support any transport or authentication?

No. The server uses the standard MCP protocol (stdio transport) with no authentication; it is designed for local development and demonstration.

Can I use Interactive Drawing MCP with AI assistants other than Goose?

The README only mentions integration with Goose. The server exposes standard MCP tools, so it may work with any MCP‑compatible client, but this is not documented.