Generate a concise summary of graph data, including overview statistics, node/edge type distributions, and key insights. Optionally include detailed node and edge information for comprehensive analysis using the Pythagraph RED API.
Implement features using Test-Driven Development by following Red-Green-Refactor cycles to write tests before code and ensure quality through structured validation.
Search Xiaohongshu (Red Note) for user-generated content, author details, and images using a specific query, with customizable result counts for precise retrieval on RedNote MCP.
Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides formatted tables, statistics, node/edge distributions, and comprehensive summaries for graph visualization and insights.
Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides detailed graph statistics, node/edge distributions, and formatted table outputs for data visualization and analysis.
A secure Node.js execution environment that allows coding agents and LLMs to run JavaScript dynamically, install NPM packages, and retrieve results while adhering to the Model Control Protocol.