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
Basic information
A Serverless MCP implementation using SST, React and AWS.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"brains-mcp": {
"command": "npx",
"args": [
"sst",
"dev"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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