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PineMCP (Multi-Database)▌

zyleree

by zyleree

PineMCP (Multi-Database): unified access to PostgreSQL, MySQL, Redis, and more. 25+ tools for operations, queries, and s

Provides unified database access across PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, Microsoft SQL Server, and Amazon DynamoDB with 25+ tools for operations, schema management, data export/import, query performance analysis, and transaction support through a comprehensive adapter pattern architecture.

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8 database types supported25+ built-in toolsProduction-ready security measures

best for

  • / Developers working with multiple database systems
  • / Database administrators managing mixed environments
  • / Data migration and synchronization projects
  • / Multi-database application development

capabilities

  • / Query multiple database types with unified syntax
  • / Export and import data in JSON, CSV, SQL, XML formats
  • / Generate DDL and migration scaffolding
  • / Analyze query performance and execution
  • / Compare database schemas across systems
  • / Manage transactions with rollback support

what it does

Provides unified access to 8 different database types (PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, MSSQL, DynamoDB) through a single interface with 25+ management tools.

about

PineMCP (Multi-Database) is a community-built MCP server published by zyleree that provides AI assistants with tools and capabilities via the Model Context Protocol. PineMCP (Multi-Database): unified access to PostgreSQL, MySQL, Redis, and more. 25+ tools for operations, queries, and s It is categorized under databases, developer tools.

how to install

You can install PineMCP (Multi-Database) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

PineMCP (Multi-Database) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

PineMCP Logo

Node.js >= 18 npm package GitHub Issues MIT License

PineMCP v2.1.2

PineMCP is a professional Model Context Protocol (MCP) server that provides a unified, safe interface to multiple database types. It ships with robust connection management, schema tooling, data import/export, and query analysis — all exposed as MCP tools over stdio.

🚀 New in v2.1.2:

  • 🔒 Security Fix: Resolved tar-fs symlink validation bypass vulnerability (CVE-2025-59343)
  • ✅ Dependency Updates: Updated tar-fs to patched version 2.1.4
  • ✅ Enhanced Security: Added package overrides to prevent future vulnerabilities

Previous v2.1.0 Features:

  • ✅ Fixed Critical Bugs: All database adapters now work correctly
  • ✅ Enhanced Error Handling: Structured error system with proper context
  • ✅ Improved Type Safety: Eliminated unsafe type assertions
  • ✅ Better Security: Enhanced NoSQL injection protection
  • ✅ MCP Integration: Seamless configuration loading from MCP JSON files

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Why PineMCP?

  • Unified access to PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, MSSQL, and DynamoDB
  • Safe query execution with guardrails and transaction support
  • Schema comparison, DDL generation, and migration scaffolding
  • Data export/import (JSON, CSV, SQL, XML)
  • Query analysis with heuristics, history, and templates
  • Production-ready with comprehensive error handling and security measures

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Quick Start

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Documentation

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CLI Overview

PineMCP exposes a CLI via the pinemcp binary. For a complete list of commands and options, see the Installation Guide. Common tasks:

pinemcp start
pinemcp test-connection --name <connectionName>

Note: PineMCP 2.0.0 does not persist configuration. Connections are supplied by your MCP client. Only the data/ directory is used to store history/templates; mount it in Docker if you want persistence.

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Deployment

See detailed instructions in the Installation Guide:

—

License

PineMCP is released under the MIT License. See LICENSE.

FAQ

What is the PineMCP (Multi-Database) MCP server?
PineMCP (Multi-Database) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for PineMCP (Multi-Database)?
This profile displays 42 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

✓

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

✓

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

✓

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

✓

Maintain data integrity with less manual SQL work

Implementation Guide▌

Prerequisites

  • ›Claude Desktop 0.7.0+ or Cursor with MCP support
  • ›Database credentials (read-only recommended for safety)
  • ›Network access from Claude client to database
  • ›Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • ⚠Connection refused: Check database is running and network accessible
  • ⚠Authentication failed: Verify credentials, check user permissions
  • ⚠Claude can't see tables: Grant appropriate read permissions to database user
  • ⚠Slow queries: Add indexes, limit result set size, use read replicas
  • ⚠MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices▌

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • −Don't use production write credentials—risk of data corruption
  • −Don't query production database during peak traffic hours
  • −Don't expose sensitive PII without proper access controls
  • −Don't skip query result validation—AI can misinterpret schema
  • −Don't allow unlimited result set sizes—set LIMIT clauses
  • −Don't share database credentials in plain text config files

💡 Pro Tips

  • ★Create database views for common queries to simplify AI access
  • ★Add schema comments/descriptions so AI understands column meanings
  • ★Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • ★Set up query logging to audit what Claude is querying
  • ★Create saved query templates for recurring analysis
  • ★Combine with data visualization tools for better insights

Technical Details▌

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This▌

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration▌

  • →Read replica connection for analytics queries
  • →Database view layer to abstract complex joins
  • →Query result caching for repeated questions
  • →Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.4★★★★★42 reviews
  • ★★★★★Chaitanya Patil· Dec 28, 2024

    Useful MCP listing: PineMCP (Multi-Database) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Isabella Verma· Dec 28, 2024

    PineMCP (Multi-Database) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Isabella Patel· Dec 24, 2024

    I recommend PineMCP (Multi-Database) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Benjamin Desai· Dec 4, 2024

    According to our notes, PineMCP (Multi-Database) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Piyush G· Nov 19, 2024

    We evaluated PineMCP (Multi-Database) against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Layla Huang· Nov 19, 2024

    PineMCP (Multi-Database) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Charlotte Haddad· Nov 15, 2024

    Strong directory entry: PineMCP (Multi-Database) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Benjamin Dixit· Nov 15, 2024

    PineMCP (Multi-Database) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Shikha Mishra· Oct 10, 2024

    I recommend PineMCP (Multi-Database) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Layla Singh· Oct 10, 2024

    PineMCP (Multi-Database) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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