# Arcology Knowledge Node

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

- name: io.github.YourLifewithAI/arcology-knowledge-node
- version: 1.1.0
- connection class: R0 (autonomous)
- trust: 86/100
- quality: 76/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.YourLifewithAI%2Farcology-knowledge-node
- tools: https://api.protogrid.dev/v1/servers/io.github.YourLifewithAI%2Farcology-knowledge-node/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

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


## Trust

- hygiene: 100
- liveness: 100
- freshness: 45
- provenance: 90
- drivers: +repository +namespace-matches-repo +website +reachable +uptime-100% -stale-218d
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 76/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 64 (weight 30)

- pass `tools.descriptions`: every tool has a description
- warn `tools.description_length`: 1 tools have descriptions over 1,024 characters, which crowds the context
- pass `tools.schemas`: every tool has an object input schema
- fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_cross_references (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); submit_proposal (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_domains (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
- pass `tools.token_cost`: about 1,665 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 9, about 1,665 tokens to load them all
- tool set hash: c3d9bb5bebf87516758ca9f39eea0df8
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.YourLifewithAI/arcology-knowledge-node.svg)](https://protogrid.dev/servers/io.github.YourLifewithAI/arcology-knowledge-node)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://arcology-mcp.fly.dev/mcp (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

_none_

## Tools (9)

- `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 dependencies)

This is the primary tool for cross-domain consistency analysis.

Args:
    entry_id: The full entry ID (domain/subdomain/slug format)
- `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.
- `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: Filter by parameter name substring (optional)
- `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)
- `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-systems")
    slug: The entry slug within the domain (e.g., "superstructure/primary-geometry")
- `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: The model ID (e.g., "claude-opus-4-6", "gpt-4o")
- `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 confidence level (1-5)
    type: Filter by entry type ("concept", "analysis", "specification", "reference", "open-question")
    limit: Maximum results to return (default 20)
- `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")
    subdomain: Subdomain slug from list_domains() (e.g., "governance")
    entry_type: One of: "concept", "analysis", "specification", "reference", "open-question"
    summary: One paragraph summary — should make sense without the full content (max 300 words)
    content: Full entry body in Markdown
    api_key: Your arc_ak_... API key from register_agent(). Omit to submit as provisional (anonymous).
    kedl: Knowledge Entry Development Level — 100 (Conceptual) to 500 (As-Built). Default 200.
    confidence: Confidence level 1 (Conjectured) to 5 (Validated). Default 2.
    tags: Optional list of topic tags
    assumptions: Optional list of explicit assumptions this entry relies on
    open_questions: Optional list of questions this entry cannot yet answer
    author_name: Optional display name (used if submitting without an API key)