Neo4j MCP
What is Neo4j MCP
Model Context Protocol (MCP) is a standardized protocol designed for managing context between large language models (LLMs) and external systems, enabling seamless interactions through natural language.
Use cases
MCP facilitates various use cases such as querying graph data, generating visual representations of information, managing cloud instances, and maintaining knowledge graphs. Users can inquire about graph contents, create new database instances, and store personal notes.
How to use
To utilize MCP with Neo4j, users can employ compatible clients like Claude Desktop, VS Code, or Cursor. By issuing natural language commands, users can convert them into appropriate Cypher queries and manage their Neo4j Aura accounts effectively.
Key features
MCP offers several key features, including the conversion of natural language to Cypher queries, memory management for storing and retrieving knowledge graphs, and capabilities for managing Neo4j Aura cloud instances, such as creating, scaling, and configuring database instances.
Where to use
MCP can be applied in various settings where natural language processing intersects with graph databases, including data analysis, cloud database management, and knowledge graph construction. It is particularly beneficial for developers and data scientists utilizing Neo4j’s powerful graph capabilities.
Overview
What is Neo4j MCP
Model Context Protocol (MCP) is a standardized protocol designed for managing context between large language models (LLMs) and external systems, enabling seamless interactions through natural language.
Use cases
MCP facilitates various use cases such as querying graph data, generating visual representations of information, managing cloud instances, and maintaining knowledge graphs. Users can inquire about graph contents, create new database instances, and store personal notes.
How to use
To utilize MCP with Neo4j, users can employ compatible clients like Claude Desktop, VS Code, or Cursor. By issuing natural language commands, users can convert them into appropriate Cypher queries and manage their Neo4j Aura accounts effectively.
Key features
MCP offers several key features, including the conversion of natural language to Cypher queries, memory management for storing and retrieving knowledge graphs, and capabilities for managing Neo4j Aura cloud instances, such as creating, scaling, and configuring database instances.
Where to use
MCP can be applied in various settings where natural language processing intersects with graph databases, including data analysis, cloud database management, and knowledge graph construction. It is particularly beneficial for developers and data scientists utilizing Neo4j’s powerful graph capabilities.
Content
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
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
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
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.
mcp-neo4j-data-modeling - interactive graph data modeling and visualization
Create, validate, and visualize Neo4j graph data models. Allows for model import/export from Arrows.app.
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