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liujiarui0918
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using-mcp-memory

Create and manage entities, relations, and observations in MCP memory knowledge graphs.

Updated May 28, 2026
Search Tags:#code analysis#structured data#knowledge graph#MCP memory#document modeling
One-click install
npx skills add https://github.com/liujiarui0918/claude-code-codex-strongest --skill using-mcp-memory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: using-mcp-memory
Source: https://github.com/liujiarui0918/claude-code-codex-strongest/tree/main/skills/using-mcp-memory
Command: npx skills add https://github.com/liujiarui0918/claude-code-codex-strongest --skill using-mcp-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill allows users to model structured relationships within a knowledge graph, facilitating complex querying and reasoning about structured data.

Core Features & Use Cases

  • Knowledge Graph Modeling: Create and manage entities, relations, and observations to represent complex data relationships.
  • Task Specific Applications: Ideal for codebase analysis, document structure modeling, and project stakeholder mapping.
  • Use Case: Imagine you are analyzing a codebase. You can use this Skill to create entities for modules, relations for imports and calls, and observations for specific details about each module.

Quick Start

To create a new entity in the MCP memory graph for a module, use the command: mcp__memory__create_entities([{name: "moduleA", entityType: "Module", observations: ["Imports moduleB"]}, {name: "moduleB", entityType: "Module", observations: ["Used in moduleA"]}]).

Frequently Asked Questions about using-mcp-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I model structured relationships in a knowledge graph for codebase analysis?▼

Model structured relationships by creating entities for modules, defining relations for imports and calls, and adding observations for specific details to build a queryable knowledge graph.

What is the best way to map project stakeholders and document structures using structured data?▼

Mapping project stakeholders and document structures is best handled by modeling them as entities, relations, and observations within a knowledge graph to facilitate complex querying and in-session reasoning.

How do I create a new entity in the MCP memory graph?▼

Create a new entity in the MCP memory graph by using the mcp__memory__create_entities command with an array specifying the name, entityType, and observations for your structured data.

Do I need specific MCP tools to define relations and add observations?▼

Yes, this knowledge graph modeling requires specific MCP tools for entity creation, relation definition, and observation addition to manage structured data relationships effectively.

Can I use this knowledge graph approach for in-session reasoning about complex data?▼

Yes, the knowledge graph approach is ideal for in-session reasoning about complex data, allowing you to represent and query entities, relations, and observations within your current session.

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