Db MCP
An MCP protocol server that supports database connection and query for MySQL, Redis, and MongoDB, providing multiple security modes and a user - friendly operation interface
2 points
4.1K

What is db-mcp?

db-mcp is an intelligent database connection tool that allows AI assistants (such as Claude, Cursor AI, etc.) to directly interact with your database. You can query data, view table structures, statistical information, etc. through simple conversations without writing SQL statements or database commands.

How to use db-mcp?

Simply configure the db-mcp server in an AI tool that supports the MCP protocol, and the AI assistant will gain database access capabilities. You can ask for database information in natural language, and the AI will automatically convert it into the corresponding database query and return the results.

Applicable Scenarios

Suitable for scenarios such as development and debugging, data analysis, and system monitoring. When you need to quickly check the database status, verify data integrity, or perform simple data operations, you can directly complete them through an AI conversation without opening a database client.

Main Features

MySQL Database Support
Supports connecting to MySQL databases, performing operations such as SQL queries, inserts, updates, and deletes, and supports connection pool management to improve performance.
Redis Cache Support
Supports connecting to Redis databases and performing common Redis operations such as key - value operations, hash operations, and pattern matching.
MongoDB Document Database Support
Supports connecting to MongoDB, performing operations such as document queries, inserts, updates, and deletes, and supports complex queries and aggregations.
Three - Level Security Mode
Provides three security levels: read - only mode, restricted mode, and full - access mode to ensure the security of database operations.
Simple Connection Configuration
Supports configuring database connections through pre - configuration files or environment variables, and also supports dynamic connection and disconnection.
Advantages
No need to write code: Query the database through natural language, reducing the technical threshold.
Multi - database support: Supports three mainstream databases, MySQL, Redis, and MongoDB, simultaneously.
Secure and controllable: The three - level security mode prevents misoperations and protects database security.
Flexible configuration: Supports both pre - configuration and dynamic connection methods to adapt to different scenarios.
AI integration: Seamlessly integrates with mainstream AI tools, improving development efficiency.
Limitations
Requires MCP support: Must be used in an AI tool that supports the MCP protocol.
Performance limitations: Not suitable for complex analysis operations on large amounts of data.
Function limitations: The functions are relatively basic compared to professional database clients.
Learning cost: Requires an understanding of basic database concepts and operations.

How to Use

Installation and Configuration
First, you need to install the Node.js environment, then clone the project and install the dependencies. You can pre - configure the database connection information through a configuration file or environment variables.
Configure AI Tools
Add the db-mcp server configuration to the AI tool you are using (such as Cursor, Claude Desktop), and specify the server path and security mode.
Connect to the Database
After starting the AI tool, you can let the AI assistant connect to the database through a conversation or use the pre - configured automatic connection.
Start Querying
Describe your data requirements in natural language, and the AI assistant will automatically convert them into database queries and return the results.

Usage Examples

Quick Data Statistics
During development, you need to quickly view the statistical information of a certain data table without opening a database client.
Cache Data Check
Check whether the data in the Redis cache is correct and verify whether the cache strategy is effective.
Document Database Query
Query documents that meet specific conditions in MongoDB for data analysis.
Database Structure View
Understand the table structure or collection structure of the database to provide a reference for development.

Frequently Asked Questions

Is db-mcp secure? Will it cause misoperations on the database?
Which AI tools are supported?
Do I need to expose the database password to the AI?
How is the performance? Is it suitable for processing large amounts of data?
How to ensure SQL injection security?
Does it support database clusters or sharding?

Related Resources

GitHub Repository
The source code and latest version of db-mcp
MCP Protocol Documentation
The official documentation of the Model Context Protocol. Learn more about the MCP protocol details.
Node.js Official Website
The Node.js runtime environment, which db-mcp depends on for operation.
MySQL Documentation
The official MySQL documentation. Learn about the supported SQL syntax and functions.
Redis Documentation
The official Redis documentation. Learn about Redis commands and data structures.
MongoDB Documentation
The official MongoDB documentation. Learn about query syntax and aggregation operations.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "db-mcp": {
      "command": "node",
      "args": ["/path/to/db-mcp/dist/index.js"],
      "env": {
        "DB_MCP_SECURITY_MODE": "read_only",
        "DB_MCP_CONFIG_PATH": "/path/to/config.json"
      }
    }
  }
}

{
  "mcpServers": {
    "db-mcp": {
      "command": "node",
      "args": ["/path/to/db-mcp/dist/index.js"],
      "env": {
        "DB_MCP_SECURITY_MODE": "read_only"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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