Skillget

awesome-oceanbase-mcp

skill
Security Audit
Fail
Health Pass
  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 19 days ago
  • Community trust — 100 GitHub stars
Code Fail
  • rm -rf — Recursive force deletion command in .github/workflows/publish.yaml
  • rm -rf — Recursive force deletion command in .github/workflows/publish_obdiag_mcp.yaml
  • rm -rf — Recursive force deletion command in .github/workflows/publish_oceanbase_mcp.yaml
  • network request — Outbound network request in src/obcloud_mcp_server/package.json
  • process.env — Environment variable access in src/obcloud_mcp_server/src/env.ts
  • network request — Outbound network request in src/obcloud_mcp_server/src/functions/request.ts
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This project provides a collection of Model Context Protocol (MCP) servers designed to enable AI assistants to securely interact with, manage, and monitor OceanBase databases and their associated cloud platforms.

Security Assessment
The overall risk is rated as Low to Medium. The tool requires environment variable access (`src/obcloud_mcp_server/src/env.ts`) to handle necessary database credentials, which is standard and expected for this type of software. It also makes outbound network requests to connect to the databases and cloud APIs. No hardcoded secrets or overtly dangerous execution behaviors were found in the core application code. However, the automated GitHub workflow files failed the security check due to the use of recursive force deletion (`rm -rf`) commands. While this is a common cleanup practice in continuous integration pipelines, it is a minor deviation from strict security hygiene and should be noted.

Quality Assessment
The project demonstrates strong health and maintenance signals. It is actively maintained, with the most recent code push occurring just 18 days ago. It enjoys a healthy level of community trust, evidenced by 100 GitHub stars. Furthermore, the repository is properly documented and clearly licensed under the permissive and standard Apache-2.0 license, making it highly viable for open-source adoption and commercial use.

Verdict
Use with caution, ensuring you securely manage your database credentials via environment variables when configuring the tool.
SUMMARY

MCP Server for OceanBase database and its tools

README.md

🌊 Awesome OceanBase MCP

Model Context Protocol (MCP) Server Collection for OceanBase Ecosystem

English | 简体中文

License
Python
TypeScript

📖 Project Overview

awesome-oceanbase-mcp is a Model Context Protocol (MCP) server repository specifically designed for the OceanBase ecosystem.

🎯 Mission: Enable AI assistants to interact directly with OceanBase databases and ecosystem components through standardized MCP protocols.

✨ Core Values:

  • 🤖 AI-Friendly: Direct database operations within Claude, ChatGPT and other AI assistants
  • 🔒 Secure & Reliable: Provides safe database access and operation mechanisms
  • 🛠️ Complete Ecosystem: Covers the complete OceanBase product and tool chain
  • 🚀 Ready to Use: Simple configuration to get started

🔍 What is MCP?

The Model Context Protocol (MCP) is an open protocol designed to enable seamless integration between AI applications and external data sources and tools. It provides a standardized way for AI models to access the contextual information and capabilities they need.

🚀 Quick Start

Prerequisites

If you don't have an OceanBase database instance yet, please:

🗂️ MCP Server Collection

This repository provides complete MCP servers for the OceanBase ecosystem:

🔧 MCP Server 📝 Description 📚 Documentation
OceanBase MCP Server Provides secure interaction capabilities with OceanBase databases, supporting SQL queries, data management operations 📖 View
OCP MCP Server Integrates with OceanBase Cloud Platform, providing cluster management and monitoring capabilities 📖 View
OBCloud MCP Server Connects to OBCloud services, providing cloud database management functionality 📖 View
OKCTL MCP Server Manages OceanBase resources and deployments in Kubernetes environments 📖 View
OBDIAG MCP Server Provides OceanBase diagnostic tool integration, supporting performance analysis and troubleshooting 📖 View
obshell MCP Server Enables OceanBase cluster creation, deployment and operations management through obshell 📖 View
seekdb MCP Server Provides vector operations, collection management, SQL queries and AI functions for seekdb database 📖 View
PowerMem MCP Server Provides AI memory management capabilities, supporting memory storage, search, and intelligent retrieval with Ebbinghaus forgetting curve 📖 View

💡 Usage Tips: Click on the documentation links to view detailed installation and configuration guides.

💬 Community & Support

We highly value community feedback and contributions!

🙋‍♀️ Getting Help

🐛 Issue Reporting

If you encounter any issues during usage:

  1. First check the documentation for the corresponding MCP server
  2. Search existing Issues to confirm if the issue is known
  3. If it's a new issue, please create a new Issue

🤝 Contributing

We welcome all forms of contributions:

  • 🔧 Code Contribution: Submit Pull Requests
  • 📝 Documentation: Improve docs and examples
  • 🐛 Bug Reports: Report bugs and suggest improvements
  • 💡 Feature Requests: Propose new feature requirements

📄 License

This project is released under the Apache License 2.0.

⭐ If this project is helpful to you, please give us a Star!

Made with ❤️ by OceanBase Team

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