Model Context Protocol Server for NebulaGraph
A server implementation that enables integration with NebulaGraph 3.x, supporting schema, queries, and shortcuts, designed for LLM tooling systems.
Added on:
Created by:
Mar 17 2025
A server implementation that enables integration with NebulaGraph 3.x, supporting schema, queries, and shortcuts, designed for LLM tooling systems.
Added on:
Created by:
Mar 17 2025
Nebula Contrib
Featured
What is Model Context Protocol Server for NebulaGraph?
This MCP (Model Context Protocol) server offers streamlined access to NebulaGraph 3.x, allowing users to explore graph schemas, execute queries, and utilize shortcut algorithms efficiently. It facilitates integration with Large Language Model (LLM) systems, enabling advanced graph exploration and automation. The server supports a simple command-line interface and configuration management via environment variables and .env files. Its primary goal is to simplify connectivity and interactions with NebulaGraph, making it suitable for developers, data scientists, and AI system integrators looking to leverage graph data in AI workflows.
Who will use Model Context Protocol Server for NebulaGraph?
- Developers working with NebulaGraph
- Data scientists managing graph databases
- AI system integrators integrating graph data with LLMs
- Research professionals exploring graph algorithms
How to use the Model Context Protocol Server for NebulaGraph?
- Step1: Install using pip with `pip install nebulagraph-mcp-server`
- Step2: Configure environment variables with NEBULA_HOST, NEBULA_PORT, NEBULA_USER, NEBULA_PASSWORD, NEBULA_VERSION
- Step3: Run the server via command line `nebulagraph-mcp-server`
- Step4: Connect to the server through supported clients or integrations
- Step5: Use graph schema queries, explore data, or execute algorithms through the server interface.
Model Context Protocol Server for NebulaGraph's Core Features & Benefits
The Core Features
- Access NebulaGraph 3.x schemas
- Execute graph queries
- Run shortcut algorithms
- Integrate with LLM tooling systems
- Command-line configuration support
The Benefits
- Simplifies connectivity to NebulaGraph
- Supports integration with AI workflows
- Enables efficient graph data exploration
- Provides quick setup with environment configs
Model Context Protocol Server for NebulaGraph's Main Use Cases & Applications
- Graph schema exploration and management
- AI-powered graph data analysis
- Automated graph queries in AI systems
- Integration with LLMs for knowledge graph reasoning
FAQs of Model Context Protocol Server for NebulaGraph
Developer
- nebula-contrib
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