Sponsored by Deepsite.site

DepthOS Universal Bridge (DepthOSUB)

Created By
The-Promethean-Society2 months ago
Description: The Neural Router for DepthOS. A polyphonic Model Context Protocol (MCP) server that orchestrates an ensemble of LLM specialists into a unified development hive mind. Implements the .depthos/touchpoint.md protocol for absolute project alignment.
Overview

what is DepthOS Universal Bridge (DepthOSUB)?

DepthOSUB is a Neural Router designed for DepthOS, functioning as a polyphonic Model Context Protocol (MCP) server that integrates multiple LLM specialists into a cohesive development hive mind.

how to use DepthOSUB?

To use DepthOSUB, set up the server by executing the command npx -y depthos-bridge@latest start with the appropriate environment variables for DEPTHOS_MODE and NETWORK_STATE.

key features of DepthOSUB?

  • Orchestrates an ensemble of specialist models for enhanced performance.
  • Ensures project context is portable through the touchpoint.md protocol.
  • Utilizes a meritocratic ledger protocol to manage operational costs.

use cases of DepthOSUB?

  1. Facilitating complex multi-model interactions in AI development.
  2. Enhancing project alignment and context management across different models.
  3. Reducing operational costs through efficient resource allocation.

FAQ from DepthOSUB?

  • What is the purpose of DepthOSUB?

DepthOSUB aims to improve the interaction between various AI models, allowing for a more integrated and efficient development process.

  • How do I start using DepthOSUB?

You can start using DepthOSUB by following the setup instructions provided in the documentation on the GitHub repository.

  • Is DepthOSUB open-source?

Yes! DepthOSUB is available on GitHub and can be accessed by anyone.

Server Config

{
  "mcpServers": {
    "depthos-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "depthos-bridge@latest",
        "start"
      ],
      "env": {
        "DEPTHOS_MODE": "polyphonic",
        "NETWORK_STATE": "promethea"
      }
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Tavily Mcp
Amap Maps高德地图官方 MCP Server
ChatWiseThe second fastest AI chatbot™
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
CursorThe AI Code Editor
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Playwright McpPlaywright MCP server
Serper MCP ServerA Serper MCP Server
WindsurfThe new purpose-built IDE to harness magic
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
DeepChatYour AI Partner on Desktop
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.