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Pinemcp

PineMCP is a professional Model Context Protocol server that provides a unified and secure interface for multi-database access, supports multiple database types, and includes functions such as connection management, schema tools, data import/export, and query analysis.
DatabaseDeveloper tools#Database Management#MCP Protocol#Data Tools#Safe Query.TypeScript
2.5 points
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Content Details

Alternatives

What is PineMCP?

PineMCP is a database connection and management tool that allows you to securely access and manage multiple different types of databases through a unified interface, including PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, MSSQL, and DynamoDB. It's like a 'universal remote control' for databases, enabling you to execute queries, manage data, and view structures without having to learn the specific tools for each database.

How to use PineMCP?

PineMCP itself is a background service, and you don't need to operate it directly. You need to configure PineMCP in an AI assistant or development tool that supports the MCP protocol (such as Claude Desktop, Cursor, etc.). After configuration, you can directly manage your databases in these tools through natural language or commands. For example, you can tell the AI assistant 'Show my user table', and it will connect to the database through PineMCP and return the results.

Applicable Scenarios

PineMCP is particularly suitable for the following scenarios: 1. Developers need to quickly query and check multiple different types of databases. 2. Data analysts need to extract and integrate data from different databases. 3. System administrators need to centrally manage the connections and permissions of multiple databases. 4. When collaborating in a team, the ability to access databases needs to be shared securely. 5. Conducting data exploration and analysis in an AI assistant environment.

Main Features

Multi-Database Support
Supports 8 mainstream databases: PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, MSSQL, and DynamoDB. One tool manages all databases.
Safe Query Execution
Built-in security protection mechanisms prevent attacks such as SQL injection and support transaction operations to ensure the security of data operations.
Database Schema Tools
Provides functions such as database schema comparison, DDL statement generation, and migration script creation to facilitate database version management.
Data Import/Export
Supports multiple data formats: JSON, CSV, SQL, XML, facilitating data migration and backup between different systems.
Query Analysis
Provides functions such as query history, performance analysis, and query templates to help optimize database operations.
Security Enhancements
Version v2.1.2 fixes an important security vulnerability (CVE - 2025 - 59343), updates dependent packages, and enhances overall security.
MCP Protocol Integration
Perfectly integrates with the Model Context Protocol and can be directly used in AI assistants and development tools that support MCP.
Advantages
Unified interface: One tool manages multiple databases, reducing the learning cost.
Safe and reliable: Built-in multiple security protections prevent data leakage and attacks.
Production-ready: Fully tested, including a complete error handling and logging system.
Easy to integrate: Seamlessly integrates with mainstream AI assistants and development tools.
Comprehensive functions: Covers the entire process of database operations from query execution to schema management.
Limitations
Requires an MCP client: Cannot be used independently and must be used with a tool that supports MCP.
Configuration depends on the client: Database connection configuration needs to be set in the client.
Learning curve: Requires an understanding of the basic concepts of the MCP protocol.
Resource consumption: Runs as a resident service and will occupy a certain amount of system resources.

How to Use

Choose an Installation Method
Choose an installation method according to your needs: - Install globally using npm (suitable for frequent use). - Run temporarily using npx (no installation required). - Run in a Docker container (suitable for isolated environments). - Build from source code (suitable for developers).
Configure the MCP Client
Configure PineMCP in the AI assistant or development tool you are using. This usually requires adding PineMCP server information to the client's configuration file. Please refer to your client's documentation for specific configuration methods.
Add Database Connections
In the configuration of the MCP client, add the database connection information you want to manage. Each connection needs to specify parameters such as the database type, host, port, username, and password.
Start Using
After configuration, you can manage databases in the AI assistant or development tool through natural language or commands. For example, in Claude Desktop, you can directly say 'Connect to my production database and show the table list.'

Usage Examples

Data Query and Analysis
Data analysts need to extract sales data from multiple databases for analysis. By configuring PineMCP, you can query the order data in PostgreSQL, user information in MySQL, and cached data in Redis in one go in an AI assistant.
Database Schema Synchronization
The development team needs to synchronize the database schema from the development environment to the test environment. Using PineMCP's schema comparison function, you can quickly identify the differences between the two environments and generate migration scripts.
Multi-Database Data Export
You need to export relevant data from different databases into a unified format report. PineMCP's data export function supports multiple formats, facilitating data integration.

Frequently Asked Questions

Is PineMCP free?
Do I need programming knowledge to use PineMCP?
Which AI assistants or tools does PineMCP support?
Is the database password secure? Where is it stored?
What should I do if I encounter connection problems?
Will PineMCP affect database performance?

Related Resources

GitHub Repository
Source code, issue tracking, and contribution guidelines for PineMCP
Installation Guide
Detailed installation steps and instructions for different installation methods
Tool Reference Manual
Complete reference for all available tools and commands
MCP Integration Guide
How to configure PineMCP in various MCP clients
Troubleshooting
Solutions to common problems and debugging tips
Model Context Protocol Official Website
Official documentation and specifications for understanding the MCP protocol

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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