What are the prerequisites for using Neo4j MCP Server for Cursor?
Bun v1.0.0 or higher and a Neo4j database (local or remote) are required. A Docker Compose file is included to run Neo4j locally.
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Basic information
A Cursor MCP (Model Context Protocol) server that enables seamless interaction with Neo4j databases directly from the Cursor IDE.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"neo4j-mcp": {
"command": "bun",
"args": [
"run",
"index.ts"
]
}
}
}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.
The Neo4j MCP Server for Cursor is a Model Context Protocol server that allows users to interact with Neo4j databases directly from the Cursor IDE. It enables executing Cypher queries, retrieving database metrics, and monitoring connection status through standard MCP tools.
Clone the repository, install dependencies with Bun (v1.0.0+), and configure Neo4j credentials in a .env file. The server uses stdio transport and is launched by Cursor. Six tools are available: connect with explicit credentials, connect with environment variables, execute a Cypher query, get database information, get connection status, and disconnect. For testing, run bun run index.ts or ./run-mcp-server.sh.
Bun v1.0.0 or higher and a Neo4j database (local or remote) are required. A Docker Compose file is included to run Neo4j locally.
You can connect using explicit credentials (URI, username, password) or by setting environment variables (`NEO4J_URI`, `NEO4J_USERNAME`, `NEO4J_PASSWORD`, `NEO4J_DATABASE`) in a `.env` file.
The server uses stdio transport via the official MCP SDK, designed for seamless integration with Cursor’s MCP support.
Yes, you can run `bun run index.ts` or the provided shell script `./run-mcp-server.sh` to test the server manually.
Credentials can be stored in a `.env` file or passed as parameters to the “Connect” tool. The README advises using a secure password in production.

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