mcp-memory

Manage knowledge graph entities, relations, and observations.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/Paparusi/jarvis --skill mcp-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-memory
Source: https://github.com/Paparusi/jarvis/tree/main/workspace/skills/mcp/memory
Command: npx skills add https://github.com/Paparusi/jarvis --skill mcp-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a suite of tools to manage and query a knowledge graph, enabling efficient data organization and retrieval.

Core Features & Use Cases

  • Data Creation: Create new entities and relations within the graph.
  • Data Modification: Add or delete observations and relations for existing entities.
  • Data Retrieval: Search for nodes and read the entire graph structure.
  • Use Case: When discussing a new project, use create_entities to add the project and its team members, then create_relations to link them, ensuring a structured record.

Quick Start

Use the mcp-memory skill to search for nodes related to 'project alpha'.

Frequently Asked Questions about mcp-memory

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

FAQPage Schema
How do I create entities and relations in a knowledge graph?

To create entities and relations in a knowledge graph, you use dedicated data creation tools to add nodes and define their connections. This enables efficient organization of complex data structures for AI applications.

What is the best way to query and search nodes in a knowledge graph?

Searching nodes in a knowledge graph involves using graph query tools to retrieve specific data points or read the entire graph structure. This allows you to extract structured records and maintain complex data relationships.

Can I add or delete observations for existing entities in a knowledge graph?

Yes, you can modify existing entities in a knowledge graph by adding or deleting observations. This data modification capability ensures your structured records remain accurate and up to date during project development.

When do I need a knowledge graph for data management?

You need a knowledge graph for data management when organizing complex, interconnected data relationships in AI-driven applications. It provides a structured approach to retrieve and maintain project details and team member connections.

What are the limitations of using a knowledge graph for data management?

Knowledge graph data management requires careful structuring of entities and relations to avoid querying inefficiencies. You must manually maintain observations and relations to ensure the graph structure remains accurate over time.