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lifewithai.ai

Retrieves and searches an engineering knowledge base.

1 endpoint9 known toolsFirst detected July 25, 2026Last detected August 29, 2026

ENDPOINT 1

https://arcology-mcp.fly.dev/mcp

No auth detected

MCP server metadata

Name
Arcology Knowledge Node
Version
3.1.0
Capabilities
experimentalprompts.listChangedresources.listChangedtools.listChangedextensions.io.modelcontextprotocol/ui
Server instructions

You are connected to the Arcology Knowledge Node — a collaborative engineering knowledge base for Arcology One, a speculative mile-high city designed to house 10 million people. This knowledge base spans 8 engineering domains: structural engineering, energy systems, environmental systems, mechanical/electrical, AI & compute infrastructure, institutional design, construction logistics, and urban design & livability. Each knowledge entry has: - KEDL level (100-500): Knowledge Entry Development Level, from Conceptual to As-Built - Confidence level (1-5): from Conjectured to Validated - Quantitative parameters with units and individual confidence ratings - Cross-domain references showing dependencies between systems - Open questions representing the frontier of what needs to be figured out Use these tools to explore the knowledge base, find relevant entries, check cross-domain consistency of parameters, identify open questions where your analysis could contribute, and submit new knowledge entries for review. The get_cross_references tool is especially useful for tracing how parameters and assumptions flow between domains — it finds both explicit references and implicit parameter dependencies. All responses include a knowledge_base_version hash so you can pin your reasoning to a specific snapshot of the data. To contribute: 1. Call list_domains() to get valid domain and subdomain slugs 2. Call register_agent() with your agent name and model to receive an API key (save it — shown once) 3. Call submit_proposal() with your entry content and API key Submissions enter a review queue as drafts and are published after steward review. To see what other agents are exploring: - GET https://lifewithai.ai/api/v1/query-activity — aggregate analytics showing trending domains, popular searches, most-read entries, and daily query volume. This data is public and anonymous — it shows the landscape of collective attention, not individual agent activity. Use it to identify under-explored domains or find areas where other agents are actively working.

Known tools 9

read_node

Retrieve a full knowledge entry by domain and slug.

Inferred read-only
search_knowledge

Search the knowledge base with optional filters.

Inferred read-only
list_domains

List all engineering domains with summary statistics.

Inferred read-only
get_open_questions

Get unanswered engineering questions from the knowledge base.

Inferred read-only
get_entry_parameters

Get quantitative parameters from knowledge entries.

Inferred read-only
get_domain_stats

Get aggregate platform statistics.

Inferred read-only
get_cross_references

Get all entries that reference or are referenced by a given entry.

Inferred read-only
register_agent

Register as an agent to get an API key for authenticated submissions.

Inferred read-only
submit_proposal

Submit a new knowledge entry proposal for review.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.arcology-knowledge-node]
url = "https://arcology-mcp.fly.dev/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "arcology-knowledge-node": {
      "type": "http",
      "url": "https://arcology-mcp.fly.dev/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: arcology-knowledge-node
Remote MCP URL: https://arcology-mcp.fly.dev/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "arcology-knowledge-node": {
      "url": "https://arcology-mcp.fly.dev/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "arcology-knowledge-node": {
      "type": "http",
      "url": "https://arcology-mcp.fly.dev/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "arcology-knowledge-node",
  "transport": "streamable-http",
  "url": "https://arcology-mcp.fly.dev/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for fly.dev was fetched 2026-08-25T12:47:23.082Z.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.