BRAINS OS - version MCP
About
A Serverless MCP implementation using SST, React and AWS.
Explore
- Visual flow editor for AI workflow design
- Unified command system for AI operations
- Secure authentication and authorization (AWS Cognito)
- Real-time workflow execution
- Comprehensive audit logging
- Serverless architecture on AWS Lambda and DynamoDB
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
BRAINS OS - version MCPCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- Node.js (v16 or later)
- AWS account with configured credentials
- Git
1. Create your test environment file:
cp .env.test.example .env.test
chmod 600 .env.test # Set secure file permissions
2. Configure your test environment by editing .env.test:
API_STAGE=dev
API_VERSION=latest
API_BASE_URL=https://dev-api.yoururl-in-aws-route53.com
[email protected]
COGNITO_PASSWORD=your_test_password
USER_POOL_ID=us-east-1_xxxxxx
APP_CLIENT_ID=xxxxxxxxxxxxxxxxxx
COGNITO_REGION=us-east-1
IDENTITY_POOL_ID=us-east-1:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
API_GATEWAY_REGION=us-east-1
3. Verify your test setup:
./packages/brainsOS/test_scripts/mcp/test_tools.sh
1. Individual test scripts:
bashnpx sst deploy --stage <stage>
```
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"brains os - version mcp": {
"brains-mcp": {
"command": "npx",
"args": [
"sst",
"dev"
]
}
}
}
}
McpServers
{
"brains-mcp": {
"command": "npx",
"args": [
"sst",
"dev"
]
}
}
A modern, serverless operating system for AI systems and agents, built with SST, React, and TypeScript. This project 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.
Overview
Brains MCP is designed to:
- Manage and orchestrate AI workflows through a visual interface
- Provide a unified command system for AI operations
- Enable secure, scalable deployment of AI subminds
- Support comprehensive prompt management and benchmarking
- Maintain strict data ownership and audit capabilities
Key Features
Current Version
- Visual flow editor for AI workflow design - Unified command system for AI operations - Secure authentication and authorization - Real-time workflow execution - Comprehensive audit loggingComing Soon
- Advanced prompt library with benchmarking capabilities - MCP (Model Control Protocol) client/server implementation - Enhanced state management and persistence - Extended model support and integration - Advanced templating systemArchitecture
The system is built on modern cloud-native technologies:
- Frontend: React with TypeScript and Flow-based UI
- Backend: AWS Lambda functions
- Authentication: AWS Cognito
- Database: DynamoDB
- Infrastructure: SST (Serverless Stack)
Getting Started
Prerequisites
- Node.js (v16 or later)
- AWS account with configured credentials
- Git
Installation
1. Clone the repository:
git clone [repository-url]
cd brains-mcp
2. Install dependencies:
npm install
3. Start the development server:
npx sst dev
Test Environment Setup
1. Create your test environment file:
cp .env.test.example .env.test
chmod 600 .env.test # Set secure file permissions
2. Configure your test environment by editing .env.test:
# API Configuration
API_STAGE=dev
API_VERSION=latest
API_BASE_URL=https://dev-api.yoururl-in-aws-route53.com
# AWS Cognito Authentication (Required)
[email protected]
COGNITO_PASSWORD=your_test_password
USER_POOL_ID=us-east-1_xxxxxx
APP_CLIENT_ID=xxxxxxxxxxxxxxxxxx
COGNITO_REGION=us-east-1
IDENTITY_POOL_ID=us-east-1:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
API_GATEWAY_REGION=us-east-1
3. Verify your test setup:
# Run a basic test to verify configuration
./packages/brainsOS/test_scripts/mcp/test_tools.sh
Security Notes
- Never commit .env.test to version control
- Keep test credentials secure and rotate them regularly
- Ensure .env.test has correct permissions (600)
- Review test scripts for any hardcoded sensitive data
- Use separate test credentials from production
Test Script Organization
packages/brainsOS/test_scripts/
├── mcp/ # MCP-specific test scripts
├── resources/ # Resource API test scripts
├── services/ # Service API test scripts
└── test_utils.sh # Common test utilities
Running Tests
1. Individual test scripts:
# Run specific test suite
./packages/brainsOS/test_scripts/mcp/test_tools.sh
# Run with specific starting point
./packages/brainsOS/test_scripts/mcp/test_tools.sh -5 # Start from step 5
2. Interactive features:
- Press [Enter] to continue to next test
- Press [R] to retry the last command
- Press [Q] to quit the test suite
3. Reviewing results:
- ✅ indicates passed tests
- ❌ indicates failed tests
- ⚠️ indicates warnings or important notices
Troubleshooting
1. Permission Issues:
# Reset file permissions
chmod 600 .env.test
chmod 755 packages/brainsOS/test_scripts/*.sh
2. Authentication Errors:
- Verify Cognito credentials in .env.test
- Check API endpoint configuration
- Ensure AWS region settings are correct
3. Common Issues:
- Token expiration: Scripts handle this automatically
- Rate limiting: Built-in delays prevent API throttling
- Missing environment variables: Validation will catch these
Project Structure
brains-mcp/
├── packages/
│ ├── frontend/ # React-based flow editor
│ │ ├── src/
│ │ │ ├── components/
│ │ │ ├── nodes/
│ │ │ └── core/
│ │ └── ...
│ └── brainsOS/ # Core backend system
│ ├── commands/ # Command implementations
│ ├── core/ # Core services
│ ├── functions/ # API functions
│ └── utils/ # Shared utilities
├── infra/ # Infrastructure code
└── sst.config.ts # SST configuration
Development
Local Development
npx sst dev
Deployment
npx sst deploy --stage <stage>
Contributing
1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request
License
[License Type] - See LICENSE file for details
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