What MCP clients can I use with these servers?
Claude Desktop, VS Code, Cursor, and Windsurf are explicitly mentioned as compatible MCP clients.
Neo4j MCP Clients & Servers
@neo4j-contrib
Basic information
About Neo4j MCP Clients & Servers
Model Context Protocol with Neo4j
Neo4j MCP Clients & Servers config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryNeo4j MCP Clients & Servers tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Neo4j MCP Clients & Servers?
Neo4j MCP Clients & Servers is a collection of Model Context Protocol (MCP) servers that allow large language models (LLMs) to interact with Neo4j graph databases and Neo4j Aura cloud instances using natural language. It is intended for developers and AI assistants using MCP-compatible clients like Claude Desktop, VS Code, Cursor, or Windsurf.
How to use Neo4j MCP Clients & Servers?
Configure the MCP client to connect to one or more of the included servers (mcp-neo4j-cypher, mcp-neo4j-memory, mcp-neo4j-cloud-aura-api) with your Neo4j database credentials or Aura API keys. Then issue natural language commands to query or modify graph data, manage Aura instances, or retrieve knowledge graph memory across sessions.
Key features of Neo4j MCP Clients & Servers
- Natural language to Cypher query generation and execution
- Read and write database operations via generated Cypher
- Persistent knowledge graph memory stored in Neo4j
- Manage Neo4j Aura instances (create, destroy, scale, enable features)
- Works across multiple MCP-compatible clients and sessions
Use cases of Neo4j MCP Clients & Servers
- Ask what is in the graph and retrieve schema information
- Generate charts from product sales data using natural language
- List, create, and scale Neo4j Aura cloud instances
- Store personal facts as entities and relationships in a knowledge graph
- Access the same graph data from different conversational sessions
Frequently asked questions
What do I need to set up to use these servers?
You need a Neo4j database (local or remote) for the Cypher and Memory servers, and a Neo4j Aura account for the cloud API server. Detailed setup instructions are in each server’s own README.
Can I run all three servers at the same time?
Yes, each server is independent and can be configured together in your MCP client to cover different use cases.
How is the mcp-neo4j-memory server different from the cypher server?
mcp-neo4j-memory focuses on storing and retrieving personal knowledge graph entities and relationships across sessions, while mcp-neo4j-cypher executes generated read/write Cypher queries on a configured database.
Where is my data stored?
Data resides in your configured Neo4j database instance (local or remote) for all servers. For the cloud API server, actions modify resources in your Neo4j Aura account.
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