INDIVIDUAL MCP TOOL

compare_labs

Run the same maze at the same dials in both Precision and Echo labs, return both trajectories plus a diff summary.

universalnaturalintelligence.comnone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent endpoint

universalnaturalintelligence.com

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.universalnaturalintelligence-com]
url = "https://universalnaturalintelligence.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "universalnaturalintelligence-com": {
      "type": "http",
      "url": "https://universalnaturalintelligence.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: universalnaturalintelligence-com
Remote MCP URL: https://universalnaturalintelligence.com/api/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": {
    "universalnaturalintelligence-com": {
      "url": "https://universalnaturalintelligence.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "universalnaturalintelligence-com": {
      "type": "http",
      "url": "https://universalnaturalintelligence.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "universalnaturalintelligence-com",
  "transport": "streamable-http",
  "url": "https://universalnaturalintelligence.com/api/mcp"
}

MCP Inspector

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

Related tools

list_labs — Return the two labs (Precision, Echo), their observation models, and their production URLs.
list_mazes — Return all six mazes with ASCII art, size, and a short description.
describe_dial — Explain γ_A / γ_B / T at a given value, in behavioural terms.
run_episode — Simulate an active-inference episode server-side and return the full trajectory (positions, beliefs, policy posterior, EFE breakdown per step).
run_sweep — Run multiple episodes varying a single dial; return one summary row per value (reached goal?
list_patient_archetypes — Return the four patient archetypes (Acute, Chronic, Anxiety, Resilient) with their parameter presets and the story shown in the reading panel.
apply_protocol — Simulate one trauma_loop episode under a named treatment protocol (wait, pure_exposure, pure_grounding, sequenced) or a custom protocol object.
compare_protocols — Run multiple Loop Lab protocols against a single patient archetype with a fixed seed, return per-protocol outcomes plus a narrative diff summary.