What are the prerequisites to run BRAINS OS - version MCP?
You need Node.js v16 or later, an AWS account with configured credentials, and Git.
@groovysquirrel
基本情報
A Serverless MCP implementation using SST, React and AWS.
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": {
"brains-mcp": {
"command": "npx",
"args": [
"sst",
"dev"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A modern, serverless operating system for AI systems and agents, built with SST, React, and TypeScript. It provides a robust framework for managing Large Language Models (LLMs) and specialized AI agents through the MCP (Model Control Protocol) with a unified command system and shared operating template.
Clone the repository, install dependencies with npm install, and start the development server using npx sst dev. Configure test environment by copying .env.test.example to .env.test and setting AWS Cognito credentials, then run test scripts located in packages/brainsOS/test_scripts/mcp/.
You need Node.js v16 or later, an AWS account with configured credentials, and Git.
It uses AWS Lambda for backend functions, AWS Cognito for authentication, DynamoDB for database, and SST (Serverless Stack) for infrastructure management.
Fork the repository, create a feature branch, commit changes, and open a Pull Request.
Never commit `.env.test` to version control, set file permissions to 600 (`chmod 600 .env.test`), rotate credentials regularly, and use separate test credentials from production.
Test scripts are organized under `packages/brainsOS/test_scripts/` with subdirectories for MCP, resources, and services. You can run individual suites like `./packages/brainsOS/test_scripts/mcp/test_tools.sh` with options to start from a specific step.
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