Narrative Graph MCP

rtm_find_optimal_depth

Determine the optimal narrative traversal depth to achieve a specified recall length, using configurable branching and depth parameters for efficient narrative analysis.

Instructions

Find the optimal traversal depth to achieve a target recall length

Input Schema

Name	Required	Description
`maxBranchingFactor`	No	Maximum number of child nodes (K parameter)
`maxRecallDepth`	No	Maximum depth for recall (D parameter)
`targetRecallLength`	Yes	Target number of clauses to recall
`text`	Yes	The narrative text to analyze
`title`	Yes	Title of the narrative

Input Schema (JSON Schema)

{
  "additionalProperties": false,
  "properties": {
    "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"
    },
    "targetRecallLength": {
      "description": "Target number of clauses to recall",
      "minimum": 1,
      "type": "number"
    },
    "text": {
      "description": "The narrative text to analyze",
      "type": "string"
    },
    "title": {
      "description": "Title of the narrative",
      "type": "string"
    }
  },
  "required": [
    "text",
    "title",
    "targetRecallLength"
  ],
  "type": "object"
}

Install Server

HTTP connection URL

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