Medical Sql MCP
M

Medical Sql MCP

A medical database connection server based on the MCP protocol, providing virtual file system navigation, intelligent table structure query, secure SQL execution, and time-aware functions to help AI assistants safely access hospital management data.
2 points
0

What is the Medical SQL MCP Server?

This is an intelligent database query tool specifically designed for the medical industry. It acts like an 'interpreter', converting the natural language questions of AI assistants into SQL queries that the database can understand, and then returning the query results to users in a friendly manner. Through this tool, medical staff can directly ask questions about hospital data in everyday language, such as 'How many patients registered today?' or 'Which drugs are in short supply in the past three days?', without having to learn complex database operations.

How to use the Medical SQL MCP Server?

The usage process is very simple: 1) Connect the AI assistant to the server; 2) Users ask questions in natural language; 3) The server converts the questions into secure database queries; 4) Return clear results. Throughout the process, users do not need to touch any technical details, just like having a natural conversation with an intelligent assistant.

Applicable scenarios

It is suitable for scenarios where hospital administrators, doctors, nurses, etc. need to quickly query medical data. For example: querying patient visit records,统计科室工作量, monitoring drug inventory, analyzing the usage of medical resources, etc. It is especially suitable for those who need to obtain data frequently but are not familiar with database technology.

Main features

Intelligent directory navigation
Convert the complex database table structure into an intuitive directory similar to a folder (such as '/Patient Services/Registration Table'), making it easier for AI assistants to understand the data organization method, just as simple as browsing computer files.
On-demand table structure viewing
You can view the detailed field information of any data table at any time, including field names, data types, etc., to help AI accurately understand the meaning of data and avoid query errors.
Safe query protection
The read-only mode is enabled by default to prevent AI from accidentally modifying or deleting important medical data. Administrators can enable write permissions as needed to ensure data security.
Intelligent time processing
Automatically recognize time expressions such as 'today', 'this week', 'in the past three days', and accurately convert them into corresponding date range queries to ensure the accuracy of time-related queries.
Intelligent cache optimization
The database structure will be automatically cached after the first use. Subsequent queries do not need to be analyzed repeatedly, greatly improving the response speed and reducing the waiting time.
Advantages
Zero technical threshold: Medical staff do not need to learn SQL or database knowledge
Rapid response: Intelligent caching and optimized queries ensure quick access to results
Data security: Strict permission control and read-only mode protect sensitive medical data
Easy to integrate: Can be easily connected to various AI assistants and medical systems
Semantic understanding: Can understand the business meaning and time expressions in natural language
Limitations
Dependent on AI assistants: It needs to be used in conjunction with an AI assistant and cannot be operated directly
Slow first startup: It takes time to analyze the database structure and generate a cache
Requires OpenAI API: An external AI service needs to be called to generate the directory structure for the first time
Limited query complexity: Complex data analysis may require the assistance of professional tools
Requires database connection: Correct database connection information must be configured

How to use

Environment preparation
Ensure that Node.js (version 16 or higher) is installed, and prepare the MySQL database and OpenAI API key.
Install dependencies
Download the project files and install the necessary software packages.
Configure the connection
Create a.env configuration file and fill in the database connection information and OpenAI API key.
Start the server
Run the server program and start listening for connection requests from AI assistants.
Connect the AI assistant
Add the MCP server address to the AI assistant configuration and you can start using it.

Usage examples

Query the registration situation on the current day
The outpatient department director wants to know the registration situation this morning to reasonably arrange doctor resources.
Drug inventory warning
Pharmacy administrators need to regularly check which drugs are in short supply in order to purchase them in time.
Department workload statistics
Hospital management needs to统计各科室上周的工作量 for performance evaluation and resource allocation.

Frequently Asked Questions

Do I need to know SQL to use this tool?
Is this tool safe? Will it accidentally delete or modify my data?
Why is the first startup slow?
Which types of databases are supported?
Can the system handle complex questions?
How to ensure the accuracy of query results?

Related resources

Official documentation
Complete technical documentation and API reference
Example configuration file
A complete example of the configuration file
MCP protocol introduction
Understand the working principle of the MCP protocol
Medical database design guide
Best practices for medical industry database design

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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