Retrieve detailed information about a specific HUMMBL mental model using its code (e.g., P1, IN3, CO5).

Retrieve complete list of all 120 HUMMBL mental models with basic information.

Search HUMMBL mental models by keyword across codes, names, and definitions.

Retrieve information about a specific transformation type and all its models (P, IN, CO, DE, RE, SY).

Find pre-defined problem patterns with recommended transformations and top models based on a search query.

Get recommended mental models based on a natural language problem description using HUMMBL REST API.

Get all models related to a specific model with relationship details

Add a relationship between two mental models with evidence.

Fetch the caller's past recommendation calls (problems submitted and the model codes that were returned), newest first. Useful for 'what did we explore last time?' and for avoiding re-recommending the same models.

Retrieve the canonical Self-Dialectical AI Systems methodology with HUMMBL Base120 mappings.

Audit a list of HUMMBL model references for existence, transformation alignment, and duplicates.

Get all available guided workflows for problem-solving with Base120 mental models.

Begin a guided multi-turn workflow for systematic problem-solving using Base120 mental models.

Proceed to the next step of your guided workflow after completing the current step.

Discover which workflow best fits your problem type or situation.

Export a curated subset of Base120 mental models as Markdown, JSON, or PDF. Pass codes for a specific list, transformation for a whole group, or neither for all 120.