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Enable AI agents to manage knowledge graphs and perform semantic search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Graphiti MCP Server" yet — see the docs or source repo.
Use Graphiti MCP Server to import the following project materials into a knowledge graph, creating relationships across people, tasks, systems, and time: product requirements, meeting notes, and task lists. Then return a graph structure summary and key nodes.
A knowledge graph summary, core entities and relationships, and a list of key nodes.
Using Graphiti MCP Server, search the knowledge graph for discussions, owners, fix records, and dependent systems related to 'user login failures' over the past two months, and organize them into a timeline.
A time-ordered view of related events, owners, system dependencies, and fix history.
Use Graphiti MCP Server to add the newly launched payment module to the existing knowledge graph, linking it to the order service, risk control system, owners, and deployment environment, then highlight the newly affected scope.
Updated relationship details, new nodes and edges, and a summary of the impacted scope.
Connect AI to Graphlit for content access, retrieval, and context automation.
Ingest documents into Neo4j to build and query a knowledge graph.
Give LLMs persistent knowledge graph memory with semantic retrieval and contextual recall.
Provides an MCP server for RAG and knowledge graph integration.
Run Cypher queries and inspect Neo4j schemas for AI-driven graph exploration.
Build a knowledge graph from repos for Q&A and implementation planning.