by zyleree
PineMCP (Multi-Database): unified access to PostgreSQL, MySQL, Redis, and more. 25+ tools for operations, queries, and s
Provides unified access to 8 different database types (PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, MSSQL, DynamoDB) through a single interface with 25+ management tools.
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.
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.
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.
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
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
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Share your MCP server with the developer community
Useful MCP listing: PineMCP (Multi-Database) is the kind of server we cite when onboarding engineers to host + tool permissions.
PineMCP (Multi-Database) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend PineMCP (Multi-Database) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, PineMCP (Multi-Database) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated PineMCP (Multi-Database) against two servers with overlapping tools; this profile had the clearer scope statement.
PineMCP (Multi-Database) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: PineMCP (Multi-Database) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
PineMCP (Multi-Database) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend PineMCP (Multi-Database) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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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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:
Previous v2.1.0 Features:
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Installation and environment setup: see the Installation Guide
Configure databases in your MCP client (no local setup step). See MCP Integration for client-specific instructions and examples.
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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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See detailed instructions in the Installation Guide:
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PineMCP is released under the MIT License. See LICENSE.
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
Prerequisites
Time Estimate
15-30 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
Compatibility
✓ 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.