OceanBase MCP Server

What does “OceanBase” MCP Server do?

The OceanBase MCP Server is a Model Context Protocol (MCP) server designed to facilitate secure, structured interactions with OceanBase databases. By acting as a bridge between AI assistants and the OceanBase database, it enables tasks such as listing tables, reading data, and executing SQL queries within a controlled environment. This server enhances the safety and efficiency of database exploration and analysis by providing granular access control and comprehensive logging. Developers can leverage this MCP server to integrate real-time database operations into their AI workflows, allowing for dynamic data retrieval and manipulation without compromising security or data integrity.

List of Prompts

No prompt templates are explicitly mentioned in the repository.

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List of Resources

• List of OceanBase tables
  Exposes available tables in the connected OceanBase database as resources.
• Table contents
  Allows clients to read the data contained within specific tables.
• SQL query results
  Provides results from executing SQL queries on the OceanBase database.

List of Tools

• List Tables
  Enables clients to retrieve a list of all tables in the OceanBase database.
• Read Table
  Allows reading the contents of a particular table.
• Execute SQL Query
  Provides the capability to execute arbitrary SQL queries with proper error handling.

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Use Cases of this MCP Server

• Database Management
  Securely view and navigate OceanBase database tables, enhancing oversight and reducing risk.
• Data Analysis
  AI assistants can retrieve and analyze data directly from the database to generate insights.
• Automated Reporting
  Generate reports by querying and aggregating database data through AI-initiated workflows.
• Safe Query Execution
  Developers and AI agents can run SQL queries in a controlled, logged, and secure environment.
• Compliance Auditing
  All database operations are logged, supporting traceability and compliance requirements.

How to set it up

Windsurf

No Windsurf-specific setup instructions are provided in the repository.

Claude

1. Install dependencies
   Ensure Python and pip are installed, then install the package:

   pip install oceanbase-mcp-server
   

2. Set environment variables
   Configure your OceanBase credentials in your environment.
3. Locate claude_desktop_config.json
   Find and open your Claude Desktop configuration file.
4. Add the OceanBase MCP Server
   Insert the following snippet under "mcpServers":

   {
     "oceanbase": {
       "command": "uv",
       "args": [
         "--directory",
         "path/to/oceanbase_mcp_server",
         "run",
         "oceanbase_mcp_server"
       ],
       "env": {
         "OB_HOST": "localhost",
         "OB_PORT": "2881",
         "OB_USER": "your_username",
         "OB_PASSWORD": "your_password",
         "OB_DATABASE": "your_database"
       }
     }
   }
   

5. Save and restart Claude Desktop
   Restart to activate the MCP server connection.

Cursor

No Cursor-specific setup instructions are provided in the repository.

Cline

No Cline-specific setup instructions are provided in the repository.

Securing API Keys

It is recommended to use environment variables for all sensitive credentials. Example:

"env": {
  "OB_HOST": "localhost",
  "OB_PORT": "2881",
  "OB_USER": "your_username",
  "OB_PASSWORD": "your_password",
  "OB_DATABASE": "your_database"
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{ “oceanbase”: { “transport”: “streamable_http”, “url”: “https://yourmcpserver.example/pathtothemcp/url" } }

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “oceanbase” to whatever the actual name of your MCP server instance is and replace the URL with your own MCP server URL.

Overview

Based on the available information, the OceanBase MCP Server provides clear database tools and resources, secure configuration guidance, and basic platform integration for Claude. However, it lacks explicit support for prompt templates, sampling, and multiple platform-specific setup instructions. Its open-source license and logging features are positives, but the scope is somewhat focused and not exhaustive.

Our opinion

This MCP server is robust for secure OceanBase database access in AI workflows, but is limited by lack of prompt/workflow templates and broader platform integration documentation. It scores well on clarity and security, but would benefit from expanded documentation and feature set.

MCP Score