What dependencies are required?
Python 3.x and the packages `mcp`, `google-generativeai`, and `python-dotenv`.
@movva09
基本情報
Agentic MCP Client Server that solves a math task and draws output in rectangle in a drawing app.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"Agent-MCP-Math-Draw": {
"command": "python",
"args": [
"example2-3_server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
The MCP based Math Drawing Client is a Python MCP server that combines mathematical computations with visual drawing capabilities. It integrates with the Gemini AI model to process mathematical queries and generate responses that are automatically drawn on a canvas. It is intended for developers building MCP-based applications that require both calculation and visual output.
Install the required packages (mcp, google-generativeai, python-dotenv), create a .env file with your Gemini API key, optionally edit config.json for canvas and port settings, and start the MCP server with python example2-3_server.py. Then run the client script talk2mcp_math_draw_client.py to send queries.
Python 3.x and the packages `mcp`, `google-generativeai`, and `python-dotenv`.
Create a `.env` file in the project root and add `GEMINI_API_KEY=your_api_key_here`.
Basic arithmetic, exponential, logarithmic, ASCII value calculations, string manipulation, array operations, prime number calculations, factorial, and Fibonacci sequence generation.
The default canvas size is 1920×1080 pixels, configurable in `config.json` under `canvas.width` and `canvas.height`.
Yes, the system uses an iterative approach with a maximum of 9 iterations for complex problems.

Hire a verified local human for small real-world tasks your AI agent can't do: errands, queues, pickups, in-person checks and on-site photos. Your agent posts a quest, local humans send offers, and your user picks one an

Agent-first hosting. From Claude, Cursor, or Codex, your agent can create an app, push code, and deploy it to a live HTTPS URL, with managed Postgres, custom domains, environment variables, backups, and rollback.
AON MCP connects AI agents to real, buyable products and services with live pricing and tracked links—enabling builders to earn developer revenue share from attributed clicks and conversions.
Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

Agent skill: turn what your AI assistant knows about you into a personalized hypnosis session on hypnothera.ai
コメント