PolarDB-X▌
by aliyun
PolarDB-X offers powerful database management for SQL queries, schema exploration, and admin tasks, ideal for enterprise
Integrates with Alibaba Cloud's PolarDB-X distributed database system to provide SQL query execution, database status monitoring, and schema exploration capabilities for database administration and development workflows.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Database administrators managing PolarDB-X clusters
- / Developers building applications on Alibaba Cloud
- / Teams working with distributed database systems
capabilities
- / Execute SQL queries on PolarDB-X databases
- / Monitor database status and health
- / Explore database schema and structure
- / Show available SQL commands
what it does
Connects to Alibaba Cloud's PolarDB-X distributed database system to execute SQL queries, monitor database status, and explore schema. Requires database credentials for connection.
about
PolarDB-X is an official MCP server published by aliyun that provides AI assistants with tools and capabilities via the Model Context Protocol. PolarDB-X offers powerful database management for SQL queries, schema exploration, and admin tasks, ideal for enterprise It is categorized under databases.
how to install
You can install PolarDB-X 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
Apache-2.0
PolarDB-X is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
polardbx-mcp
A Model Context Protocol (MCP) servers which provides tools and resources, allowing AI agent to interact with Alibaba cloud PolarDB-X databases.
Installation
Option 1: Install from npm
# Install globally
npm install -g polardbx-mcp
# Or install in current project only
npm install polardbx-mcp
Option 2: Build from source
-
Clone this repository:
-
Install dependencies and build:
npm install
npm run build
- Configure the PolarDB-X connection in environment variable file
.env:
POLARDB_X_HOST=your_database_host
POLARDB_X_PORT=your_database_port
POLARDB_X_USER=your_database_user
POLARDB_X_PASSWORD=your_database_password
POLARDB_X_DATABASE=your_database_name
- Start the server:
npm start
Configuration for MCP Client
Example Cline Configuration if you install from npm:
{
"mcpServers": {
"polardbx-mcp": {
"command": "npx",
"args": [
"polardbx-mcp"
],
"env": {
"POLARDB_X_HOST": "your_database_host",
"POLARDB_X_PORT": "your_database_port",
"POLARDB_X_USER": "your_database_user",
"POLARDB_X_PASSWORD": "your_database_password",
"POLARDB_X_DATABASE": "your_database_name"
},
}
}
}
Example Cline Configuration if you build from source:
{
"mcpServers": {
"polardbx-mcp": {
"command": "node",
"args": [
"path_to_mcp/polardbx-mcp/build/index.js"
],
"env": {
"POLARDB_X_HOST": "your_database_host",
"POLARDB_X_PORT": "your_database_port",
"POLARDB_X_USER": "your_database_user",
"POLARDB_X_PASSWORD": "your_database_password",
"POLARDB_X_DATABASE": "your_database_name"
},
}
}
}
MCP Server Components
Tools
- query: Run a SQL query on PolarDB-X
- inspect database status: Inspect the status of PolarDB-X
- show all commands: Show all commands SQL for PolarDB-X
Resources
The server provides schema information for each table in the database:
- Table Schemas (polardbx://<database_name>/<table_name>)
- JSON schema information for each table
- Includes column names and data types
FAQ
- What is the PolarDB-X MCP server?
- PolarDB-X 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 PolarDB-X?
- This profile displays 56 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 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.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 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
4.5★★★★★56 reviews- ★★★★★Chaitanya Patil· Dec 24, 2024
Strong directory entry: PolarDB-X surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Benjamin White· Dec 24, 2024
PolarDB-X is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Sakura Agarwal· Dec 16, 2024
Strong directory entry: PolarDB-X surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Rahul Santra· Nov 23, 2024
Useful MCP listing: PolarDB-X is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Aanya Sanchez· Nov 19, 2024
PolarDB-X reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Piyush G· Nov 15, 2024
PolarDB-X has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Benjamin Srinivasan· Nov 15, 2024
PolarDB-X is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Neel Dixit· Nov 7, 2024
PolarDB-X has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Neel Johnson· Oct 26, 2024
According to our notes, PolarDB-X benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Oct 14, 2024
PolarDB-X reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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