C

Custom MCP Database

This project provides a middleware/control plane (MCP) server that allows code agents to securely execute queries on multiple databases while protecting database credentials. It manages connection configurations through an SQLite database, supports databases such as PostgreSQL, MySQL, MongoDB, and Oracle, and provides integration tools with AI agents such as Gemini and Claude.
2.5 points
1

What is the MCP Database Server?

The MCP Database Server is a middleware/control plane service that allows code agents (such as Gemini and Claude) to securely execute queries without exposing database credentials. Database connection information is stored in an SQLite database.

How to Use the MCP Database Server?

By running the server and configuring database connections, AI agents can interact with databases using predefined tools. Users can add and manage database connections through the command line or scripts.

Use Cases

Suitable for developers and AI agents that need to securely access multiple databases, especially for data querying and operations without directly exposing sensitive database credentials.

Main Features

Multi-Database SupportSupports mainstream database types such as PostgreSQL, MySQL, MongoDB, and Oracle
Secure Connection ManagementDatabase connection information is stored in a local SQLite database to avoid direct exposure of credentials
Command-Line ToolsProvides simple command-line tools to add, delete, and manage database connections
AI Agent IntegrationSupports seamless integration with AI agents such as Gemini and Claude to enable the conversion from natural language to SQL

Advantages and Limitations

Advantages
Improve database access security and avoid direct exposure of credentials
Simplify the interaction process between AI agents and databases
Support multiple database types with a wide range of applications
Easy to configure and use, suitable for non-technical users
Limitations
Depends on the local environment and cannot directly support remote server deployment
Requires manual configuration of database connection information
Limited support for complex queries and needs to be used in combination with specific tools

How to Use

Install the Project
Clone the repository, install the dependency packages, and create a virtual environment.
Start the Server
Run the MCP server to listen for requests from AI agents.
Add a Database Connection
Use the command-line tool to add database connection information.
Execute a Query Using an AI Agent
Call the `execute_query` tool in the AI agent to execute a database query.

Usage Examples

List All Database ConnectionsUse the `list_aliases()` function to get all configured database aliases.
Execute an SQL QueryRetrieve data from the specified database by specifying the database alias and SQL statement.
Execute a MongoDB QueryUse JSON-formatted query conditions to retrieve data from a MongoDB collection.

Frequently Asked Questions

What operating systems does the MCP Server require?
How to ensure the security of database connections?
Does it support remote databases?
How to update an existing database connection?

Related Resources

GitHub Project Page
The official repository for project source code and documentation
MCP Server User Guide
Detailed user manual and configuration instructions
Video Tutorial
Demonstration video of the installation and use of the MCP Server
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "Custom DB Server": {
      "command": "/your-path-to/custom-mcp-database/venv/bin/python",
      "args": [
        "/your-path-to/custom-mcp-database/main.py"
      ],
      "workingDirectory": "/your-path-to/custom-mcp-database"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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