graphiti-mcp-specialist

What problem does it solve?

This Skill helps maintain and surface conversational context by persisting episodes, entities, and relationships into a Neo4j knowledge graph so AI assistants retain project history, entity relationships, and session continuity across conversations.

Core Features & Use Cases

• Persistent Memory Storage: Add timestamped conversation episodes and auto-extracted entities to a Neo4j graph for long-term context retention.
• Graph-based Retrieval: Search past conversations, retrieve entity details, follow relationship paths, and aggregate mentions to inform responses.
• Knowledge Graph Management: Build and update entity relationships, prune obsolete data, export backups, and index frequently queried properties for performance.
• Debugging & Operations: Validate Neo4j connections, test MCP operations, and diagnose common errors like authentication failures or query timeouts.

Quick Start

Load the current project context from Graphiti MCP, summarize recent entities and relationships, and include that summary when answering the user's question.