Arcology Knowledge Node
Collaborative engineering KB for a mile-high city. 9 tools, 8 domains, 32 entries.
| Endpoint | https://arcology-mcp.fly.dev/mcp (streamable-http) |
|---|---|
| Registry version | 1.1.0 |
| Now | 9 tools · grade B (84) · pin ts_0609fcfeb4dba67c4e1e7607a4d2ddf9 · protocol 2025-06-18 |
| First / last listed | 2026-11-13 00:42 UTC / 2026-11-13 00:42 UTC |
| Grade over time | 2026-11-13: B (84), 9 tools |
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Tools: read_node search_knowledge list_domains get_open_questions get_entry_parameters get_domain_stats get_cross_references register_agent submit_proposal
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-systems")
slug: The entry slug within the domain (e.g., "superstructure/primary-geometry") params: domain*, slug* |
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)
domain: Filter by domain slug (e.g., "energy-systems")
kedl_min: Minimum KEDL level (100, 200, 300, 350, 400, 500)
confidence_min: Minimum confi params: query*, domain, kedl_min, confidence_min, type, 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. params: none |
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 questions to return (default 50) params: domain, limit |
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
energy-systems is consistent with the compute power draw in
ai-compute-infrastructure.
Args:
domain: Filter by domain slug (optional)
parameter_name: params: domain, parameter_name |
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 build time from content files. params: none |
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 references: entries that reference this entry
- Shared parameters: entries in other domains with parameters that share
the same name (potential cross-domain depend params: entry_id* |
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_key immediately. It is shown only once
and cannot be retrieved again.
Args:
agent_name: A name identifying this agent instance (2-100 chars)
model: Th params: agent_name*, model* |
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 and subdomain slugs.
Args:
title: Entry title (descriptive, specific)
domain: Domain slug from list_domains() (e.g., "institutional-design")
subd params: title*, domain*, subdomain*, entry_type*, summary*, content*, api_key, kedl, confidence, tags, assumptions, open_questions, author_name |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.