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Psiace Nebulagraph MCP Server

A server implementing the Model Context Protocol, providing access to the NebulaGraph database, supporting graph data exploration and query, and easy to integrate with LLM tool systems.
2 points
20

What is the NebulaGraph Model Context Protocol Server?

The NebulaGraph Model Context Protocol Server is a bridge service that connects applications to the NebulaGraph database and follows the model context protocol. It simplifies graph database operations and enables easy access to AI/LLM systems.

How to use the NebulaGraph Model Context Protocol Server?

You can use this server by configuring environment variables or creating an.env file containing NebulaGraph connection information. Refer to the relevant documentation for specific steps.

What are the features of the NebulaGraph Model Context Protocol Server?

This server provides graph database exploration, support for the model context protocol interface, and compatibility with various tools, helping users easily integrate and manage NebulaGraph data.

Features

Graph Database Access
Model Context Protocol Compatibility
Flexible Configuration

Advantages and Disadvantages Analysis

How to Use?

Download and install the NebulaGraph database (if not installed).
Configure the server according to the documentation, set environment variables or create an.env file.
Start the server and integrate it with your LLM tool to start using.

Frequently Asked Questions

Which versions of NebulaGraph are currently supported?
How to configure the server?
Is integration with other LLM tools supported?

More Resources

NebulaGraph Official Website
The official repository and documentation of NebulaGraph.
Model Context Protocol Information
Detailed information about the model context protocol standard.
PyPI Official Package
The official Python package repository for the NebulaGraph MCP server.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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