Arcology Knowledge Node
Read-only MCP server for AI agents to explore an 8-domain collaborative engineering knowledge base. Covers the design of Arcology One — a speculative mile-high city for 10 million people. 32 entries spanning structural engineering, energy systems, environmental systems, mechanical/electrical, AI & compute infrastructure, institutional design, construction logistics, and urban livability. 6 tools for search, parameter extraction, cross-domain consistency checking, and open question discovery.
Overview
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.
Server Config
{
"mcpServers": {
"arcology": {
"command": "python",
"args": [
"server.py"
],
"env": {
"INDEX_URL": "https://lifewithai.ai/content-index.json",
"MCP_TRANSPORT": "sse",
"MCP_PORT": "8000"
}
}
}
}Project Info
Created At
3 months agoUpdated At
3 months agoAuthor Name
YourLifewithAIStar
-Language
-License
-Recommend Servers
View AllTavily Mcp
@tavily-ai
JavaScript
a year ago
Playwright Mcp
@microsoft
Playwright MCP server
TypeScript
10 months ago