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Protocole de contexte modèle avec Neo4j

3 years

Works with Finder

2

Github Watches

54

Github Forks

218

Github Stars

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 accomplish things with Neo4j and your Aura account, e.g.:

  • 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 exeucte 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, 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

License

MIT License

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    Reviews

    5 (1)
    Avatar
    user_YBXegPRW
    2025-04-17

    As a dedicated user of mcp-neo4j, I must say this tool has significantly improved my database management experience. Its seamless integration with Neo4j and easy-to-navigate interface make it an essential utility for anyone working with graph databases. The support from the neo4j-contrib team is excellent, ensuring any issues are promptly addressed. Highly recommend!