Query and explore OceanBase databases securely via MCP
MCP server for controlled OceanBase database access - list tables, read data, and run SQL queries safely.
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Why it matters
Enable AI assistants to safely interact with OceanBase databases through a controlled Model Context Protocol interface, allowing structured exploration, querying, and analysis of database contents without exposing credentials or allowing unrestricted access.
Outcomes
What it gets done
List all available tables in the OceanBase database as browsable resources
Read and retrieve table contents with proper error handling
Execute SQL queries against OceanBase through a secure interface
Log all database operations for security auditing and monitoring
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/mcp-oceanbase | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
OceanBase
An MCP server giving an assistant controlled access to an OceanBase database - listing tables as resources, reading their contents, and executing SQL queries with error handling and logging. Access is scoped entirely by the database credentials configured. Use it when an assistant needs to explore or query an OceanBase database safely. The project's guidance is to connect with a dedicated, minimal-permission user - never root or an admin account.
What it does
OceanBase MCP Server gives an AI assistant controlled, structured access to an OceanBase database - listing tables as resources, reading their contents, and executing SQL queries - rather than an unrestricted database connection. It is meant to make routine database exploration and analysis safer by wrapping raw SQL access behind a narrow, logged MCP interface rather than handing an assistant an open database session.
When to use - and when NOT to
Use it when an assistant needs to explore or query an OceanBase database safely - listing available tables, reading their data, or running SQL with proper error handling and logging. The project's own security guidance is explicit and repeated: connect with a dedicated, minimal-permission OceanBase user, never root or an administrative account, and consider query whitelisting for production use - this server enforces nothing beyond what the database user's own grants allow, so the actual safety boundary is the credentials you configure, not the server itself.
Capabilities
Three capabilities are described: listing available OceanBase tables as MCP resources, reading table contents, and executing SQL queries with error handling. All access goes through environment-variable credentials rather than being hardcoded, and the server logs database operations comprehensively for audit purposes, so administrators can review exactly what queries an assistant actually ran against the database over time.
How to install
pip install oceanbase-mcp-server
Configuration is via environment variables: OB_HOST, OB_PORT (default 2881), OB_USER, OB_PASSWORD, and OB_DATABASE. For Claude Desktop, register it in claude_desktop_config.json with "command": "uv", "args": ["--directory", "path/to/oceanbase_mcp_server", "run", "oceanbase_mcp_server"] and the same five environment variables in the env block. It can also run standalone with python -m oceanbase_mcp_server after pip install -r requirements.txt. For development, clone the repository, create a virtual environment with python -m venv venv and activate it, install development dependencies with pip install -r requirements-dev.txt, and run the test suite with pytest to confirm everything is working before making changes.
Who it's for
Developers, DBAs, and analysts who want an assistant to explore or query an OceanBase database through a structured, auditable interface - provided the database credentials configured are properly scoped to the minimum access actually needed. The project's security documentation covers creating a restricted OceanBase user, setting appropriate permissions, monitoring access, and other best practices in more detail, and repeats the same principle throughout: never commit credentials to version control, and always follow the principle of least privilege when deciding what the configured database user is allowed to do. Released under the Apache License.
Source README
OceanBase MCP Server
A Model Context Protocol (MCP) server that enables secure interaction with OceanBase databases.
This server allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.
Features
- List available OceanBase tables as resources
- Read table contents
- Execute SQL queries with proper error handling
- Secure database access through environment variables
- Comprehensive logging
Installation
pip install oceanbase-mcp-server
Configuration
Set the following environment variables:
OB_HOST=localhost # Database host
OB_PORT=2881 # Optional: Database port (defaults to 2881 if not specified)
OB_USER=your_username
OB_PASSWORD=your_password
OB_DATABASE=your_database
Usage
With Claude Desktop
Add this to your claude_desktop_config.json:
{
"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"
}
}
}
}
As a standalone server
# Install dependencies
pip install -r requirements.txt
# Run the server
python -m oceanbase_mcp_server
Development
# Clone the repository
git clone https://github.com/yourusername/oceanbase_mcp_server.git
cd oceanbase_mcp_server
# Create virtual environment
python -m venv venv
source venv/bin/activate # or `venv\Scripts\activate` on Windows
# Install development dependencies
pip install -r requirements-dev.txt
# Run tests
pytest
Security Considerations
- Never commit environment variables or credentials
- Use a database user with minimal required permissions
- Consider implementing query whitelisting for production use
- Monitor and log all database operations
Security Best Practices
This MCP server requires database access to function. For security:
- Create a dedicated OceanBase user with minimal permissions
- Never use root credentials or administrative accounts
- Restrict database access to only necessary operations
- Enable logging for audit purposes
- Regular security reviews of database access
See OceanBase Security Configuration Guide for detailed instructions on:
- Creating a restricted OceanBase user
- Setting appropriate permissions
- Monitoring database access
- Security best practices
⚠️ IMPORTANT: Always follow the principle of least privilege when configuring database access.
FAQ
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Discussion
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