Neo4j MCP
A Neo4j database operation service based on the MCP framework, providing asynchronous database operation interfaces and proxy configuration support
2 points
5.9K

What is Neo4j MCP Server?

Neo4j MCP Server is an operation service specifically designed for the Neo4j graph database, built on the MCP framework. It provides a set of simple and easy - to - use interfaces that allow developers to easily interact with the Neo4j database, perform operations such as queries, creating nodes and relationships.

How to use Neo4j MCP Server?

Using Neo4j MCP Server is very simple. You just need to install the Python package, configure environment variables, and then call the service through the MCP client. The service supports asynchronous operations, which is suitable for modern application development.

Use Cases

Suitable for various application scenarios that need to interact with the Neo4j database, especially those projects that require asynchronous operations, proxy support, or simplified database operations.

Main Features

Asynchronous Operation Support
All database operations support asynchronous execution, improving application response speed.
Basic Database Operations
Provides basic operation interfaces for the Neo4j database, including queries, node and relationship operations.
Proxy Server Configuration
Supports accessing the Neo4j database through an HTTP/HTTPS proxy.
Complete Logging
Provides detailed logging functions for easy debugging and problem troubleshooting.
Advantages
Simple and easy - to - use API interfaces
Asynchronous operations improve performance
Flexible proxy configuration
Detailed logging
Limitations
Requires a Python environment
Only supports the Neo4j database
Requires basic knowledge of the MCP framework

How to Use

Install the Service
Install Neo4j MCP Server using pip
Configure the Environment
Create a .env file and set Neo4j connection parameters
Start the Server
Run the server program
Use the Client
Call the service through the MCP client

Usage Examples

Query All Person Nodes
Query all nodes labeled as Person in the database
Create a Social Relationship
Create a KNOWS relationship between two person nodes

Frequently Asked Questions

How to configure the proxy server?
Which Neo4j versions does the service support?
How to view logs?

Related Resources

Neo4j Official Documentation
Official documentation for the Neo4j database
MCP Framework GitHub Repository
Source code and documentation for the MCP framework
Python Asynchronous Programming Guide
Official Python asynchronous programming documentation

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.6K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
7.0K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.8K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.8K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.2K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.1K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
74.2K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.9K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.2K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.3K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
98.0K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase