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NebulaGraph MCP Server

by MCP-Mirror/PsiACE

A Model Context Protocol (MCP) server implementation that provides access to NebulaGraph. It allows seamless graph exploration and integration with LLM tooling systems.

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What is NebulaGraph MCP Server?

This is a Model Context Protocol (MCP) server designed to provide access to NebulaGraph, a distributed graph database. It acts as an intermediary, allowing applications and tools to interact with NebulaGraph using the MCP standard.

How to use NebulaGraph MCP Server?

Install the server using pip install nebulagraph-mcp-server. Configure the server by setting environment variables such as NEBULA_HOST, NEBULA_PORT, NEBULA_USER, and NEBULA_PASSWORD in a .env file. Then, run the server using a command-line interface.

Key features of NebulaGraph MCP Server

  • Seamless access to NebulaGraph 3.x

  • Schema and query support for graph exploration

  • Follows Model Context Protocol for LLM tooling integration

  • Simple command-line interface with configuration via environment variables and .env files

Use cases of NebulaGraph MCP Server

  • Integrating NebulaGraph with LLM-powered applications

  • Building knowledge graphs for question answering systems

  • Enabling graph-based reasoning in AI models

  • Providing a standardized interface for accessing NebulaGraph data

FAQ from NebulaGraph MCP Server

What NebulaGraph versions are supported?

Currently, only NebulaGraph v3 is supported.

How do I configure the server?

Configuration is done via environment variables, typically stored in a .env file.

What is Model Context Protocol (MCP)?

MCP is a protocol that defines a standard way for applications to interact with data sources, especially in the context of LLMs.

Can I use this server with LlamaIndex?

Yes, the server is designed to be compatible with LlamaIndex and other LLM tooling systems.

Where can I find more documentation?

Refer to the NebulaGraph documentation and the Model Context Protocol specifications for detailed information.