OceanBase logo

OceanBase

Organization
oceanbase

MCP Server for OceanBase database and its tools

Publisheroceanbase
Repositoryawesome-oceanbase-mcp
LanguagePython
Forks
38
Stars
109
Available tools
0
Transport typestdio
Categories
Databases
LicenseApache-2.0
Links
GitHub
  • Connect tools to AI workflows

    OceanBase exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    109 stars and 38 forks from the linked repository.

🌊 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:

💡 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

Use OceanBase MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once OceanBase is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add OceanBase as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the OceanBase MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "awesome-oceanbase-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the OceanBase MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the OceanBase MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use OceanBase to help me with this task?
OceanBase
Sure. I read it.
Here is what I found using OceanBase.

Frequently asked questions

What is the OceanBase MCP server used for?

OceanBase is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use OceanBase MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use OceanBase with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use OceanBase MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With OceanBase connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect OceanBase MCP to TypingMind?

OceanBase runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does OceanBase MCP provide in TypingMind?

OceanBase exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use OceanBase MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If OceanBase requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

Related MCP Servers

View all
googleapis logo

Google GenAI Toolbox

googleapis
OrganizationPopular

MCP Toolbox for Databases is an open source MCP server for databases.

1.7K
16.5K
0 tools
View details
instantdb logo

InstantDB

instantdb
OrganizationPopular

Instant is the best backend for AI-coded apps. You get auth, permissions, storage, presence, and streams — everything you need to ship apps your users will love.

408
10.5K
0 tools
View details
nhost logo

Nhost

nhost
OrganizationPopular

The Open Source Firebase Alternative with GraphQL.

623
9.3K
0 tools
View details
jitsucom logo

Jitsu

jitsucom
OrganizationPopular

Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

398
5.1K
0 tools
View details

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇