MCP Sql
An MCP server that allows LLMs to query PostgreSQL, SQLite, and MySQL databases, supports multiple database connections, and ensures security with the default read-only mode.
rating : 2.5 points
downloads : 6.4K
What is mcp-sql?
mcp-sql is a Model Context Protocol server specifically designed to allow AI assistants (such as Claude, Cursor, etc.) to securely query and explore databases. It acts as a secure bridge between AI and databases, supporting three mainstream databases: PostgreSQL, SQLite, and MySQL, and can connect to multiple database instances simultaneously.How to use mcp-sql?
Using mcp-sql is very simple: First, install it via Cargo, and then configure it in your AI assistant (such as Claude Desktop, Cursor, etc.). After configuration, the AI assistant can query the database through natural language, view table structures, obtain sample data, execute SQL queries, etc.Applicable scenarios
mcp-sql is particularly suitable for the following scenarios: Data analysts need to quickly query databases without writing complex SQL; Developers need AI assistants to help debug database issues; Product managers need to view data reports; In educational scenarios, students learn SQL and database structures.Main features
Multi-database support
It supports three databases: PostgreSQL, SQLite, and MySQL simultaneously. Multiple database connections can be configured, and the AI assistant can switch queries between different databases.
Default read-only mode
In the default configuration, only SELECT queries are allowed to prevent accidental modification or deletion of data. The --allow-write parameter needs to be explicitly enabled to allow write operations.
Intelligent schema exploration
It provides rich database exploration tools: view all tables, detailed table structures, generate ER relationship diagrams, view indexes, obtain sample data, etc., to help AI understand the database structure.
Multiple security protections
It has built-in security mechanisms such as row limit, query timeout, SQL injection protection, and password hiding to ensure that database queries are secure and controllable.
Single binary deployment
It is compiled into a single executable file without complex dependencies, supports cross-platform, and is simple and fast to deploy.
Demo mode
The --demo parameter is provided to quickly start an SQLite database containing sample data. You can experience the functions without configuring a real database.
Advantages
High security: Default read-only mode and multiple security restrictions prevent accidental data modification.
Good usability: Natural language queries without writing complex SQL statements.
Comprehensive functions: Supports various functions such as database structure exploration, data query, and relationship diagram generation.
Simple deployment: Single binary file, simple configuration, and supports mainstream AI platforms.
Controllable performance: Query timeout and returned row limit can be configured to avoid resource exhaustion.
Limitations
Only supports three databases: Currently, it only supports PostgreSQL, SQLite, and MySQL, and does not support other databases such as Oracle and SQL Server.
Limited advanced functions: It is mainly for querying and exploration, and has limited support for complex data operations and stored procedures.
Requires configuration: Correct database connection information needs to be configured, which is a certain threshold for non-technical personnel.
Performance overhead: There is a certain performance overhead when communicating through the MCP protocol, which is not suitable for high-frequency and large-volume data scenarios.
How to use
Install mcp-sql
Install it using Rust's package manager Cargo. Make sure the Rust toolchain is installed on the system.
Configure database connection
Configure the connection URL according to your database type. You can configure single or multiple databases.
Configure to AI assistant
Configure mcp-sql in the MCP settings of the AI assistant you are using (such as Claude Desktop, Cursor, etc.).
Start using
Use natural language to query the database in the AI assistant, such as 'Show all tables' and 'View the structure of the users table'.
Usage examples
Database structure exploration
When you need to understand the structure of an unfamiliar database, you can let the AI assistant help you explore all tables, view table relationships, and understand the data structure.
Data query and analysis
When you need to query specific data for analysis, you can describe your requirements in natural language, and the AI will generate and execute appropriate SQL queries.
Data sample viewing
Before writing queries or conducting analysis, view the data samples of the table first to understand the data format and content.
SQL query optimization
When you have a complex query that needs to be optimized, you can let the AI analyze the query plan and propose optimization suggestions.
Frequently Asked Questions
Is mcp-sql safe? Will it modify my data?
Which databases are supported?
How to configure multiple databases?
Is there a limit to the amount of data returned by the query?
Do I need to install a database client?
Does it support stored procedures and complex queries?
Related resources
GitHub repository
The source code and latest version of mcp-sql
Model Context Protocol official documentation
The official documentation and specifications of the MCP protocol
Rust programming language
The development language used by mcp-sql
Claude Desktop configuration guide
How to configure the MCP server in Claude Desktop

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