BRAINS OS - version MCP

BRAINS OS - version MCP

By groovysquirrel GitHub

A Serverless MCP implementation using SST, React and AWS.

react aws
Overview

What is BRAINS OS - version MCP?

BRAINS OS - version MCP is a modern, serverless operating system designed for AI systems and agents, built using SST, React, and TypeScript. It provides a robust framework for managing Large Language Models (LLMs) and specialized AI agents through the Model Control Protocol (MCP).

How to use BRAINS OS - version MCP?

To use BRAINS OS, clone the repository from GitHub, install the necessary dependencies, and start the development server. You will need an AWS account with configured credentials to set up the environment.

Key features of BRAINS OS - version MCP?

  • Visual flow editor for designing AI workflows
  • Unified command system for AI operations
  • Secure authentication and authorization
  • Real-time execution of workflows
  • Comprehensive audit logging

Use cases of BRAINS OS - version MCP?

  1. Managing and orchestrating AI workflows visually.
  2. Deploying AI subminds securely and scalably.
  3. Benchmarking and managing prompts for AI models.

FAQ from BRAINS OS - version MCP?

  • What technologies are used in BRAINS OS?

The project uses React, TypeScript, AWS Lambda, and DynamoDB among others.

  • Is there a visual interface for workflow design?

Yes, there is a visual flow editor for designing AI workflows.

  • How can I contribute to the project?

You can fork the repository, create a feature branch, and submit a pull request.

Overview

What is BRAINS OS - version MCP?

BRAINS OS - version MCP is a modern, serverless operating system designed for AI systems and agents, built using SST, React, and TypeScript. It provides a robust framework for managing Large Language Models (LLMs) and specialized AI agents through the Model Control Protocol (MCP).

How to use BRAINS OS - version MCP?

To use BRAINS OS, clone the repository from GitHub, install the necessary dependencies, and start the development server. You will need an AWS account with configured credentials to set up the environment.

Key features of BRAINS OS - version MCP?

  • Visual flow editor for designing AI workflows
  • Unified command system for AI operations
  • Secure authentication and authorization
  • Real-time execution of workflows
  • Comprehensive audit logging

Use cases of BRAINS OS - version MCP?

  1. Managing and orchestrating AI workflows visually.
  2. Deploying AI subminds securely and scalably.
  3. Benchmarking and managing prompts for AI models.

FAQ from BRAINS OS - version MCP?

  • What technologies are used in BRAINS OS?

The project uses React, TypeScript, AWS Lambda, and DynamoDB among others.

  • Is there a visual interface for workflow design?

Yes, there is a visual flow editor for designing AI workflows.

  • How can I contribute to the project?

You can fork the repository, create a feature branch, and submit a pull request.

No tools information available.

A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation

log-analyzer aws
View Details
aws
aws by aws

Perform operations on your AWS resources using an LLM

aws multi-cloud aws mcp
View Details
MCP Server
MCP Server by groovyBugify

Open-source MCP (Mission Control Panel) server for AWS - A powerful, region-independent backend service for AWS operations

mcp-server aws
View Details
🐢 Lazy Terminal
🐢 Lazy Terminal by Heterohabilis

An LLM-based smart terminal for lazy guys :P

react python
View Details

Pokedex web app

react pokemon
View Details

It is MCP server for access Postges DB on AWS RDS

postgers aws
View Details