Borrowing it
Nothing to install: this file belongs to lesleslie/excalidraw-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lesleslie/excalidraw-mcp/main/GEMINI.mdgit clone --depth 1 https://github.com/lesleslie/excalidraw-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/lesleslie/excalidraw-mcp/gemini-md)<a href="https://agentmods.dev/instructions/lesleslie/excalidraw-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/lesleslie/excalidraw-mcp/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/lesleslie/excalidraw-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/lesleslie/excalidraw-mcp/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00696 | $0.00696 |
| Opus 5.5 | $0.00278 | $0.00278 |
| Sonnet 5.5 | $0.00139 | $0.00139 |
| Haiku 4.5 | $0.00070 | $0.00070 |
Grade A, and why
excalidraw-mcp GEMINI.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Code Assistant Context
This document provides context for the Gemini Code Assistant to understand the excalidraw-mcp project.
Project Overview
excalidraw-mcp is a dual-language system that enables AI agents to create and manipulate Excalidraw diagrams in real-time. It consists of two main components:
-
Python MCP Server: A Python-based server using the Model Context Protocol (MCP) that exposes tools for AI agents to interact with the Excalidraw canvas. It's built with
fastmcpand manages the lifecycle of the canvas server. -
TypeScript Canvas Server: A Node.js server built with Express.js and WebSockets that manages the Excalidraw canvas. It provides a REST API for element management and uses WebSockets to synchronize the canvas state with connected clients in real-time. The frontend is a React application that displays the Excalidraw canvas.
The Python MCP server receives commands from an AI agent, translates them into API calls to the TypeScript canvas server, which then updates the canvas and broadcasts the changes to all connected web clients.
Key Technologies
- Backend (MCP Server): Python,
fastmcp,httpx,pydantic - Backend (Canvas Server): Node.js, TypeScript, Express.js, WebSockets (
ws),zod - Frontend: React, TypeScript, Vite
- Package Management:
uvfor Python,npmfor Node.js - Testing:
pytestfor Python,jestfor TypeScript
Building and Running
Prerequisites
- Python 3.13+
- Node.js 16+
uv(for Python package management)
Installation
-
Clone the repository:
git clone https://github.com/lesleslie/excalidraw-mcp.git cd excalidraw-mcp -
Install Python dependencies:
uv sync -
Install Node.js dependencies:
npm install
Running the System
The Python MCP server is the main entry point and will automatically start the TypeScript canvas server.
uv run python excalidraw_mcp/server.py
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 90 lines · 696 tokens per session scan A ddd4c728867b
excalidraw-mcp GEMINI.md is an instructions file published in the GitHub repository lesleslie/excalidraw-mcp (15 stars, last pushed 1mo ago), licensed BSD-3-Clause. It adds 696 tokens to every session, about $0.0028 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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