Arcology Knowledge Node is a remote MCP server that gives an AI agent 9 tools, among them get_cross_references, get_domain_stats, get_entry_parameters. It answers at https://arcology-mcp.fly.dev/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Collaborative engineering KB for a mile-high city. 9 tools, 8 domains, 32 entries.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
get_cross_references | 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 refere Inputs: entry_id |
get_domain_stats | 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 bu |
get_entry_parameters | 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 e Inputs: domain, parameter_name |
get_open_questions | 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 q Inputs: domain, limit |
list_domains | 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 | 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-syste Inputs: domain, slug |
register_agent | 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_k Inputs: agent_name, model |
search_knowledge | 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) do Inputs: query, domain, kedl_min, confidence_min, type, limit |
submit_proposal | 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 Inputs: title, domain, subdomain, entry_type, summary, content |
Every block below points at https://arcology-mcp.fly.dev/mcp. Pick your client and copy.
claude mcp add --transport http arcology-knowledge-node https://arcology-mcp.fly.dev/mcp
{
"mcpServers": {
"arcology-knowledge-node": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://arcology-mcp.fly.dev/mcp"]
}
}
}{
"mcpServers": {
"arcology-knowledge-node": {
"url": "https://arcology-mcp.fly.dev/mcp"
}
}
}{
"servers": {
"arcology-knowledge-node": {
"type": "http",
"url": "https://arcology-mcp.fly.dev/mcp"
}
}
}{
"context_servers": {
"arcology-knowledge-node": {
"url": "https://arcology-mcp.fly.dev/mcp"
}
}
}{
"mcpServers": {
"arcology-knowledge-node": {
"serverUrl": "https://arcology-mcp.fly.dev/mcp"
}
}
}{
"mcpServers": {
"arcology-knowledge-node": {
"url": "https://arcology-mcp.fly.dev/mcp"
}
}
}name: Arcology Knowledge Node
version: 0.0.1
schema: v1
mcpServers:
- name: Arcology Knowledge Node
type: streamable-http
url: https://arcology-mcp.fly.dev/mcp{
"mcpServers": {
"arcology-knowledge-node": {
"httpUrl": "https://arcology-mcp.fly.dev/mcp"
}
}
}{
"mcpServers": {
"arcology-knowledge-node": {
"type": "http",
"url": "https://arcology-mcp.fly.dev/mcp"
}
}
}{
"mcpServers": {
"arcology-knowledge-node": {
"url": "https://arcology-mcp.fly.dev/mcp"
}
}
}goose://extension?url=https%3A%2F%2Farcology-mcp.fly.dev%2Fmcp&type=streamable_http&id=arcology-knowledge-node&name=Arcology%20Knowledge%20Node
It answered our last check on 18 October 2026 in 258 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
9, as returned by the server's own tools/list on 31 August 2026: get_cross_references, get_domain_stats, get_entry_parameters, get_open_questions, list_domains, read_node, register_agent, search_knowledge, and 1 more.
It answered our last check on 18 October 2026 in 258 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://arcology-mcp.fly.dev/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.yourlifewithai. Endpoint host: arcology-mcp.fly.dev. ARD identifier: urn:air:io.github.yourlifewithai:mcp:arcology-knowledge-node.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.