Frequently Asked Questions about NebulaGraph MCP Server

Q: What is the Model Context Protocol (MCP)? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It allows AI models to access and interact with external data sources and tools in a consistent manner.

Q: What is NebulaGraph? A: NebulaGraph is a high-performance, distributed graph database that excels at managing complex relationships between data points.

Q: What does the NebulaGraph MCP Server do? A: The NebulaGraph MCP Server acts as a bridge, allowing AI models (LLMs) to access and interact with NebulaGraph databases. It translates requests from LLMs into NebulaGraph queries and returns the results in a format that the LLM can understand.

Q: What versions of NebulaGraph does the MCP Server support? A: Currently, the NebulaGraph MCP Server supports NebulaGraph version 3.x.

Q: What are the benefits of using the NebulaGraph MCP Server? A: The benefits include:

• Seamless access to NebulaGraph data for LLMs.
• Enhanced context awareness for AI agents.
• Improved reasoning and problem-solving capabilities for AI agents.
• Simplified integration of LLMs with graph databases.

Q: How do I install the NebulaGraph MCP Server? A: You can install it using pip: pip install nebulagraph-mcp-server

Q: What configuration is required to use the server? A: You need to configure the server by setting the following environment variables in a .env file:

• NEBULA_VERSION
• NEBULA_HOST
• NEBULA_PORT
• NEBULA_USER
• NEBULA_PASSWORD

Q: Where can I find more information about UBOS? A: You can find more information on the UBOS website: https://ubos.tech

Q: Can I use the NebulaGraph MCP Server with other graph databases? A: No, this specific MCP server is designed for NebulaGraph. However, UBOS may offer other MCP servers for different databases in the future.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.