MCP For Claude Marketplace
Dialogue Tree Complexity Analyzer

Dialogue Tree Complexity Analyzer MCP Connector for Claude

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Analyze structural complexity, branching, and localization costs of dialogue trees.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides deterministic tools for evaluating the structural health and narrative density of branching dialogue systems. Use analyze_tree_complexity to calculate branching factors, tree depth, and estimated localization costs. Use get_node_statistics to examine word counts and conditional node ratios, or validate_tree_integrity to ensure your dialogue meets minimum ending requirements. It is designed for narrative designers to manage complexity and budget.

dialoguebranchingnarrativecomplexitylocalization

3 tools expose this connector's capabilities to your AI agent.

analyze_tree_complexity

get_node_statistics

validate_tree_integrity

See how to talk to your AI agent using Dialogue Tree Complexity Analyzer.

Analyze this dialogue tree: [{'id': 'n1', 'text_length': 50, 'choices_count': 2, 'conditions_count': 0, 'depth': 0}, {'id': 'n2', 'text_length': 30, 'choices_count': 0, 'conditions_count': 0, 'depth': 1}]. Set max depth to 5, branching threshold to 2, and cost per word to 0.05.

{"totalNodes": 2, "totalBranches": 2, "treeDepth": 1, "uniqueEndings": 1, "branchingFactor": 1.0, "contentReplayability": 0.5, "localizationCostEstimate": 4.0}

What are the statistics for these nodes: [{'id': '1', 'text_length': 100, 'choices_count': 1, 'conditions_count': 1, 'depth': 0}, {'id': '2', 'text_length': 50, 'choices_count': 0, 'conditions_count': 0, 'depth': 1}]?

{"totalWordCount": 150, "averageChoicesPerNode": 0.5, "conditionalNodeRatio": 0.5}

Check if this tree has at least 2 endings: [{'id': 'start', 'text_length': 20, 'choices_count': 2, 'conditions_count': 0, 'depth': 0}, {'id': 'end1', 'text_length': 10, 'choices_count': 0, 'conditions_count': 0, 'depth': 1}, {'id': 'end2', 'text_length': 10, 'choices_count': 0, 'conditions_count': 0, 'depth': 1}]

{"isIntegrityPassed": true, "missingEndingsCount": 0}

You can use the `analyze_tree_complexity` tool by providing a `costPerWord` value. The tool will multiply the total word count of all nodes by this value.

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