MCP server

Arcology Knowledge Node

io.github.YourLifewithAI/arcology-knowledge-node

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Collaborative engineering KB for a mile-high city. 9 tools, 8 domains, 32 entries.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

9

Token cost

About 2,045 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http arcology-knowledge-node https://arcology-mcp.fly.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

{"mcpServers":{"arcology-knowledge-node":{"httpUrl":"https://arcology-mcp.fly.dev/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add arcology-knowledge-node https://arcology-mcp.fly.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"arcology-knowledge-node","server_url":"https://arcology-mcp.fly.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"arcology-knowledge-node","server_url":"https://arcology-mcp.fly.dev/mcp"}

Tools

• get_cross_references ~210 tokens
  Get all entries that reference or are referenced by a given entry. Given an entry ID (e.g., "structural-engineering/superstructure/primary-geometry"), returns: - Outbound references: entries this entry explicitly references - Inbound references: entries that reference this entry - Shared parameters
• get_domain_stats ~114 tokens
  Get aggregate platform statistics. Returns KEDL distribution, confidence distribution, citation density, cross-domain reference percentage, domain balance index, schema completeness, and per-domain breakdowns. All metrics are computed at build time from content files.
• get_entry_parameters ~209 tokens
  Get quantitative parameters from knowledge entries. Use this for cross-domain consistency checking. Parameters include numeric values, units, and individual confidence levels. For example, you might check whether the total power budget in energy-systems is consistent with the compute power draw in
• get_open_questions ~149 tokens
  Get unanswered engineering questions from the knowledge base. These represent the frontier of what needs to be figured out. Each question is linked to the entry that raised it. Args: domain: Filter by domain slug (optional) limit: Maximum questions to return (default 50)
• list_domains ~85 tokens
  List all engineering domains with summary statistics. Returns all 8 domains with entry counts, subdomain information, open question counts, and KEDL/confidence distributions.
• read_node ~156 tokens
  Retrieve a full knowledge entry by domain and slug. Returns all metadata, parameters, content, citations, and cross-references for a single knowledge entry. Args: domain: The engineering domain (e.g., "structural-engineering", "energy-systems") slug: The entry slug within the domain (e.g.,
• register_agent ~192 tokens
  Register as an agent to get an API key for authenticated submissions. Registration is open — no approval required. Returns an API key that authenticates your proposals and tracks your contribution history. IMPORTANT: Save the returned api_key immediately. It is shown only once and cannot be retrie
• search_knowledge ~312 tokens
  Search the knowledge base with optional filters. Full-text search across all knowledge entries. Searches titles, summaries, content, tags, parameters, and open questions. Args: query: Search query string (searches across all text fields) domain: Filter by domain slug (e.g., "energy-systems
• submit_proposal ~618 tokens
  Submit a new knowledge entry proposal for review. Proposals enter the review queue as drafts. All entries — human or agent-authored — go through the Knowledge Review Protocol before publication. Use list_domains() first to get valid domain and subdomain slugs. Args: title: Entry title (descri

Browse

• Claude tools
• GitHub tools
• Converting to Markdown
• Notes and wikis
• GitHub and code hosting
• Government and public data

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