📌Overview

Purpose: The Model Context Protocol (MCP) aims to facilitate the management of context between large language models and external systems, enhancing interaction through natural language queries.

Overview: The MCP framework allows users to leverage natural language processing capabilities to interact with Neo4j and Aura accounts easily. By integrating with clients like Claude Desktop, users can query and manipulate graph data effortlessly.

Key Features:

• Natural Language to Cypher Queries (mcp-neo4j-cypher): Transforms natural language inputs into Cypher queries, enabling users to ask questions or retrieve information from Neo4j graphs without requiring knowledge of the query language.

• Knowledge Graph Memory (mcp-neo4j-memory): Stores context in Neo4j as a knowledge graph, ensuring that interactions are contextually relevant and can be referenced across sessions.

• File-based Knowledge Graph Memory (mcp-json-memory): Allows the storage of a knowledge graph in a file format, providing a versatile option for managing memory outside of Neo4j.

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Neo4j MCP Clients & Servers

Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems.

This lets you use Claude Desktop or any other MCP Client (VS Code, Cursor, Windsurf) to use natural language to interact with Neo4j and your Aura account, for example:

• What is in this graph?
• Render a chart from the top products sold by frequency, total and average volume
• List my instances
• Create a new instance named mcp-test for Aura Professional with 4GB and Graph Data Science enabled
• Store the fact that I worked on the Neo4j MCP Servers today with Andreas and Oskar

Servers

mcp-neo4j-cypher - natural language to Cypher queries

Details in Readme

Get database schema for a configured database and execute generated read and write Cypher queries on that database.

mcp-neo4j-memory - knowledge graph memory stored in Neo4j

Details in Readme

Store and retrieve entities and relationships from your personal knowledge graph in a local or remote Neo4j instance. Access that information over different sessions, conversations, and clients.

mcp-neo4j-cloud-aura-api - Neo4j Aura cloud service management API

Details in Readme

Manage your Neo4j Aura instances directly from the comfort of your AI assistant chat.

Create and destroy instances, find instances by name, scale them up and down, and enable features.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Blog Posts

• Everything a Developer Needs to Know About the Model Context Protocol (MCP)
• Claude Converses With Neo4j Via MCP - Graph Database & Analytics
• Building Knowledge Graphs With Claude and Neo4j: A No-Code MCP Approach - Graph Database & Analytics

License

MIT License