Alibaba Cloud ADB MySQL▌
by aliyun
Effortlessly connect to Alibaba Cloud ADB MySQL for fast SQL queries, query analysis, and easy metadata access with mini
Connects to Alibaba Cloud's Adb MySQL databases for executing SQL queries, analyzing query plans, and retrieving database metadata with minimal configuration requirements
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers using Alibaba Cloud AnalyticDB for MySQL
- / Data analysts working with cloud analytics databases
- / AI applications needing database query capabilities
capabilities
- / Execute SQL queries on AnalyticDB for MySQL
- / Retrieve database metadata and schema information
- / Analyze query execution plans
- / Connect to remote Alibaba Cloud databases
what it does
Connects AI agents to Alibaba Cloud's AnalyticDB for MySQL databases to execute SQL queries and retrieve database metadata. Requires database credentials but minimal configuration.
about
Alibaba Cloud ADB MySQL is an official MCP server published by aliyun that provides AI assistants with tools and capabilities via the Model Context Protocol. Effortlessly connect to Alibaba Cloud ADB MySQL for fast SQL queries, query analysis, and easy metadata access with mini It is categorized under databases, analytics data.
how to install
You can install Alibaba Cloud ADB MySQL 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
Alibaba Cloud ADB MySQL 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
AnalyticDB for MySQL MCP Server
AnalyticDB for MySQL MCP Server serves as a universal interface between AI Agents and AnalyticDB for MySQL databases. It enables seamless communication between AI Agents and AnalyticDB for MySQL, helping AI Agents retrieve AnalyticDB for MySQL database metadata and execute SQL operations.
1. MCP Client Configuration
Mode 1: Using Local File
-
Download the GitHub repository
git clone https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server
-
MCP Integration
Add the following configuration to the MCP client configuration file:
{
"mcpServers": {
"adb-mysql-mcp-server": {
"command": "uv",
"args": [
"--directory",
"/path/to/alibabacloud-adb-mysql-mcp-server",
"run",
"adb-mysql-mcp-server"
],
"env": {
"ADB_MYSQL_HOST": "host",
"ADB_MYSQL_PORT": "port",
"ADB_MYSQL_USER": "database_user",
"ADB_MYSQL_PASSWORD": "database_password",
"ADB_MYSQL_DATABASE": "database"
}
}
}
}
Mode 2: Using PIP Mode
-
Installation
Install MCP Server using the following package:
pip install adb-mysql-mcp-server
-
MCP Integration
Add the following configuration to the MCP client configuration file:
{
"mcpServers": {
"adb-mysql-mcp-server": {
"command": "uv",
"args": [
"run",
"--with",
"adb-mysql-mcp-server",
"adb-mysql-mcp-server"
],
"env": {
"ADB_MYSQL_HOST": "host",
"ADB_MYSQL_PORT": "port",
"ADB_MYSQL_USER": "database_user",
"ADB_MYSQL_PASSWORD": "database_password",
"ADB_MYSQL_DATABASE": "database"
}
}
}
}
2. Develop your own AnalyticDB for MySQL MCP server
If you want to develop your own AnalyticDB for MySQL MCP Server, you can install the python dependency packages using the following command:
- Download the source code from GitHub.
- Install uv package manager.
- Install Node.js which provides a node package tool whose name is
npx - Install the python dependencies in the root diretory of the project using the following command:
uv pip install -r pyproject.toml
- If you want to debug the mcp server locally, you could start up an MCP Inspector using the following command:
npx @modelcontextprotocol/inspector \
-e ADB_MYSQL_HOST=your_host \
-e ADB_MYSQL_PORT=your_port \
-e ADB_MYSQL_USER=your_username \
-e ADB_MYSQL_PASSWORD=your_password \
-e ADB_MYSQL_DATABASE=your_database \
uv --directory /path/to/alibabacloud-adb-mysql-mcp-server run adb-mysql-mcp-server
3. Introduction to the components of AnalyticDB for MySQL MCP Server
-
Tools
-
execute_sql: Execute a SQL query in the AnalyticDB for MySQL Cluster -
get_query_plan: Get the query plan for a SQL query -
get_execution_plan: Get the actual execution plan with runtime statistics for a SQL query
-
-
Resources
-
Built-in Resources
adbmysql:///databases: Get all the databases in the analytic for mysql cluster
-
Resource Templates
-
adbmysql:///{database}/tables: Get all the tables in a specific database -
adbmysql:///{database}/{table}/ddl: Get the DDL script of a table in a specific database -
adbmysql:///config/{key}/value: Get the value for a config key in the cluster
-
-
-
Prompts
Not provided at the present moment.
FAQ
- What is the Alibaba Cloud ADB MySQL MCP server?
- Alibaba Cloud ADB MySQL 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 Alibaba Cloud ADB MySQL?
- This profile displays 63 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 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
4.6★★★★★63 reviews- ★★★★★Kabir Srinivasan· Dec 28, 2024
Strong directory entry: Alibaba Cloud ADB MySQL surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aanya Zhang· Dec 20, 2024
We evaluated Alibaba Cloud ADB MySQL against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Kiara Abebe· Dec 16, 2024
Alibaba Cloud ADB MySQL is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ishan Abbas· Dec 8, 2024
Alibaba Cloud ADB MySQL is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Chaitanya Patil· Dec 4, 2024
Strong directory entry: Alibaba Cloud ADB MySQL surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aditi Iyer· Nov 27, 2024
Alibaba Cloud ADB MySQL is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Soo Khanna· Nov 27, 2024
Alibaba Cloud ADB MySQL reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Piyush G· Nov 23, 2024
Alibaba Cloud ADB MySQL has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Aditi Ghosh· Nov 11, 2024
We wired Alibaba Cloud ADB MySQL into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Anaya Tandon· Nov 7, 2024
Alibaba Cloud ADB MySQL is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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