Neo4j MCP Servers

Nocturne Memory

Empowers AI agents with a lightweight, roll-backable, and visualized external memory system for persistent, structured knowledge.

Neo4j Python Driver

Connects Python applications to Neo4j graph databases using the official Bolt protocol.

Neo4j

Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.

NornicDB

Provides a high-performance, Neo4j-compatible graph database designed for AI agents, offering intelligent features like native embeddings, GPU-accelerated search, and automated relationship discovery.

Atlas

Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph database and the Model Context Protocol.

Memento

Provides LLMs with a scalable knowledge graph memory system, enabling semantic retrieval, contextual recall, and temporal awareness.

Eion

Provides a unified knowledge graph and shared memory storage for connecting AI agents and multi-agent systems.

Neo4j Agent Memory

Provides AI agents with memory management tools to store, recall, and connect information within a Neo4j knowledge graph.

Neo4j

Integrates Neo4j graph databases with Claude Desktop, enabling natural language interactions.

Neo4j Memory

Empowers AI assistants with persistent, intelligent memory capabilities through a unified graph database architecture.

Adaptive Graph Of Thoughts

Employs a graph-based AI reasoning framework to enhance scientific research.

Unified Tool Graph

Structures tool APIs from Model Context Protocol (MCP) servers into a Neo4j graph database, enabling LLMs to dynamically retrieve relevant tools.

Neo4j Knowledge Graph Memory

Stores and retrieves AI assistant interaction data using a Neo4j graph database.

NeoCoder

Automates coding workflows using AI assistants guided by a Neo4j knowledge graph.

Go Code Graph

Transforms Go source code into explorable graphs, enabling AI assistants to understand complex codebases through the Model Context Protocol.

Graphiti

Integrates AI agents with a knowledge graph database to provide persistent memory and contextual continuity for prompts.

Code Graph Context

Parses TypeScript projects, builds rich code graphs in Neo4j, and provides deep contextual understanding for Large Language Models through semantic search and graph traversal.

jQAssistant Graph RAG

Transforms jQAssistant-generated Neo4j graphs into semantically rich, AI-ready knowledge graphs for Java/Kotlin source code analysis.

Solvro Knowledge Graph RAG

Transforms natural language queries into Cypher to retrieve information from a knowledge graph and provide contextual answers.

Neo4j Server SSE

Enables interaction with Neo4j databases through a Model Context Protocol (MCP) server using Server-Sent Events (SSE).