Narrative Graph MCP

rtm_generate_ensemble

Create a statistical ensemble of Random Trees to model population-level recall from narrative text. Configure ensemble size, branching factor, and recall depth for tailored analysis using the Narrative Graph MCP server.

Instructions

Generate a statistical ensemble of Random Trees to model population-level recall

Input Schema

Name	Required	Description
`ensembleSize`	No	Number of trees to generate in the ensemble
`maxBranchingFactor`	No	Maximum number of child nodes (K parameter)
`maxRecallDepth`	No	Maximum depth for recall (D parameter)
`text`	Yes	The narrative text to analyze
`title`	Yes	Title of the narrative

Input Schema (JSON Schema)

{
  "additionalProperties": false,
  "properties": {
    "ensembleSize": {
      "default": 100,
      "description": "Number of trees to generate in the ensemble",
      "type": "number"
    },
    "maxBranchingFactor": {
      "default": 4,
      "description": "Maximum number of child nodes (K parameter)",
      "type": "number"
    },
    "maxRecallDepth": {
      "default": 6,
      "description": "Maximum depth for recall (D parameter)",
      "type": "number"
    },
    "text": {
      "description": "The narrative text to analyze",
      "type": "string"
    },
    "title": {
      "description": "Title of the narrative",
      "type": "string"
    }
  },
  "required": [
    "text",
    "title"
  ],
  "type": "object"
}

Install Server

HTTP connection URL

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