Database Analyzer MCP Server
D

Database Analyzer MCP Server

A powerful database analysis tool that provides an MCP server interface for introspection and analysis of PostgreSQL databases, supporting safe query execution and schema analysis.
2 points
7.9K

What is the MCP Database Analysis Server?

The MCP Database Analysis Server is a tool based on the Model Context Protocol (MCP) that allows you to securely explore and analyze the structure and data of PostgreSQL databases. It provides an intuitive interface to browse table structures, column definitions, and execute parameterized SELECT queries.

How to use the MCP Database Analysis Server?

First, install the required dependencies and configure the database connection information. Then, start the server and access the interface through a browser to perform operations.

Applicable scenarios

Suitable for researchers, developers, and data analysts who need to quickly understand the database structure.

Main Features

Database Schema Analysis
Supports listing all tables under a specific schema and viewing detailed table information, such as column definitions, data types, and constraints.
Safe Query Execution
Only allows the execution of SELECT statements to prevent SQL injection risks and ensure data security.
Advantages
An easy-to-use graphical interface
Built-in security mechanisms to protect sensitive data
Supports multiple operating systems and devices
Limitations
Does not support complex transaction processing
Requires a local Python environment installation

How to Use

Clone the Repository
Clone the project to your local machine via Git.
Install Dependencies
Run pip to install the required Python packages.
Configure Environment Variables
Create a.env file and fill in the database connection information.
Start the Server
Run the startup script in the terminal.

Usage Examples

List All Tables
Show how to get all tables in the database.
Execute a Simple Query
Demonstrate how to extract IDs and names from the user table.

Frequently Asked Questions

How to ensure data security?
What if the connection fails?

Related Resources

Official Documentation
Detailed user manuals and technical guides.
GitHub Repository
Source code and contribution guidelines.
Video Tutorial
Quick-start videos.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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