Brains MCP
B

Brains MCP

BRAINS OS is an AI operating system based on modern cloud - native technologies. It manages and orchestrates AI workflows through a visual interface, providing a unified command system and a secure deployment framework.
2 points
7.0K

What is BRAINS OS MCP?

BRAINS OS MCP is an operating system designed specifically for modern AI systems, which manages and coordinates AI workflows through a visual interface. It provides a unified command system, shared operation templates, and powerful security and auditing capabilities.

How to use BRAINS OS MCP?

You can start the development environment through simple installation steps and design AI workflows using the visual process editor. You can start running your AI tasks in just a few steps.

Applicable Scenarios

BRAINS OS MCP is suitable for work scenarios that require centralized management and optimization of AI models, such as enterprise - level AI deployment and complex business logic processing.

Main Features

Visual Workflow Editor
Easily design complex AI workflows through a drag - and - drop interface.
Unified Command System
Supports centralized command management for multiple AI operations.
Secure Authentication
Uses AWS Cognito for authentication to ensure the security of data access.
Advantages
Easy to integrate multiple AI models and tools
Powerful real - time workflow execution ability
Strict data ownership and audit tracking
Limitations
May require additional optimization for high - concurrency requests
Requires a certain technical background for initial setup

How to Use

Clone the project repository
Use Git to clone the BRAINS OS MCP project to your local machine.
Install dependencies
Run the npm command to install the required dependency packages.
Start the development server
Use the SST tool to start the local development environment.

Usage Examples

Create an intelligent customer service chatbot
Use the visual editor to design the conversation flow and connect multiple API modules.
Automated data analysis
Integrate multiple data sources and generate visual reports.

Frequently Asked Questions

How to ensure data security?
Does it support custom AI models?

Related Resources

Official Documentation
Comprehensively understand the functions and configuration of BRAINS OS MCP.
GitHub Code Repository
View and contribute code.
Video Tutorial
Quick start guide.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.5K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase