Alibaba Cloud AnalyticDB for PostgreSQL + mcp-use: Complete MCP Integration
Alibaba Cloud AnalyticDB for PostgreSQL is a MCP server that An MCP server to connect to AnalyticDB for PostgreSQL instances, query and analyze data..
When integrated with mcp-use, you can:
- Execute SQL queries (SELECT, DML, DDL) on PostgreSQL
- Get comprehensive table statistics and metadata
- Retrieve and analyze query execution plans
This guide provides step-by-step instructions to set up Alibaba Cloud AnalyticDB for PostgreSQL in mcp-use, including configuration, examples, and troubleshooting.
What You'll Achieve
After completing this setup:
- Alibaba Cloud AnalyticDB for PostgreSQL will be fully integrated and operational
- You can use Alibaba Cloud AnalyticDB for PostgreSQL tools directly in mcp-use
- All Alibaba Cloud AnalyticDB for PostgreSQL capabilities will be available for your workflows
- Access to 6 different tools
Prerequisites
Before starting, ensure you have:
- AnalyticDB for PostgreSQL host endpoint
- Database username
- Database password
- Database name
- mcp-use installed and configured
- Compatible operating system (Python 3.8+, Node.js 16+, pip Installation, npm/yarn Installation)
Installation
Step 1: Install Alibaba Cloud AnalyticDB for PostgreSQL
Configuration
Step 2: Configure mcp-use
- Open mcp-use settings
- Navigate to MCP server configuration
- Add Alibaba Cloud AnalyticDB for PostgreSQL server with appropriate settings
- Save and restart if needed
Examples
Once configured, you can use Alibaba Cloud AnalyticDB for PostgreSQL in mcp-use:
Advanced Analytics Pipeline
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Ask mcp-use: "Analyze customer behavior patterns and generate insights"
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Knowledge Graph Construction
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Ask mcp-use: "Create knowledge graph connecting customers, products, and transactions"
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Intelligent Memory Management
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Ask mcp-use: "Store and retrieve conversation history for personalized responses"
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Testing Your Setup
- Launch mcp-use
- Verify Alibaba Cloud AnalyticDB for PostgreSQL is available in the tools list
- Test basic Alibaba Cloud AnalyticDB for PostgreSQL functionality
Troubleshooting
Common Issues
Connection Refused or Server Unreachable
Symptoms: ECONNREFUSED error, Connection timeout, Cannot reach server
Cause: MCP server not running or incorrect URL
Solution:
- Verify MCP server is running and accessible
- Check server URL is correct (protocol, host, port, path)
- Test server URL in browser or with curl to confirm it responds
- Ensure firewall allows connections to server port
- Verify CORS settings if accessing from browser
Import Errors or Module Not Found
Symptoms: ModuleNotFoundError: mcp_use, Cannot find module "mcp-use"
Cause: Package not installed or wrong environment
Solution:
- Verify installation: pip show mcp-use (Python) or npm list mcp-use (JS)
- Ensure using correct Python virtual environment or Node.js project
- Reinstall package: pip install --upgrade mcp-use or npm install mcp-use
- Check package.json or requirements.txt includes mcp-use
Tool Discovery Returns Empty List
Symptoms: list_tools() returns [], No tools available, Tools not found
Cause: MCP server not properly configured or not exposing tools
Solution:
- Verify MCP server is properly initialized and configured
- Check server logs to confirm tools are registered
- Test server directly with MCP inspector or test client
- Ensure server implements MCP protocol correctly
- Verify transport type (HTTP/SSE) matches server configuration
Tool Execution Fails or Returns Errors
Symptoms: Tool call throws exception, Invalid arguments error, Execution timeout
Cause: Incorrect arguments or server-side execution failure
Solution:
- Verify tool arguments match schema definition from list_tools()
- Check required arguments are provided with correct types
- Review server logs for detailed error messages
- Test tool with minimal valid arguments first
- Increase timeout if tool requires longer execution time
LangChain.js Integration Not Working
Symptoms: getLangChainTools() fails, Tools not recognized by agent, Type errors
Cause: Version mismatch or incorrect integration setup
Solution:
- Ensure LangChain.js version is compatible with mcp-use
- Verify TypeScript version meets requirements
- Check tool schema conversion is working correctly
- Use latest versions of both mcp-use and LangChain.js
- Review LangChain.js documentation for agent setup
Transport Type Errors (HTTP vs SSE)
Symptoms: SSE connection fails, HTTP polling not working, Event stream errors
Cause: Mismatch between client transport and server capabilities
Solution:
- Verify server supports the transport type you are using
- Try alternative transport: switch between "http" and "sse"
- Check server documentation for supported transport types
- For SSE, ensure server sends proper Content-Type: text/event-stream
- For HTTP, verify server accepts POST requests with JSON payload
Alibaba Cloud AnalyticDB for PostgreSQL not appearing in mcp-use
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Alibaba Cloud AnalyticDB for PostgreSQL installation
- Restart mcp-use
- Check logs for error messages
Next Steps
Now that Alibaba Cloud AnalyticDB for PostgreSQL is integrated with mcp-use:
- Explore all Alibaba Cloud AnalyticDB for PostgreSQL capabilities through mcp-use
- Check out other MCP servers that work with mcp-use
- Join the MCP community for tips and support
- Consider contributing to Alibaba Cloud AnalyticDB for PostgreSQL development
Need Help?
- Search for Alibaba Cloud AnalyticDB for PostgreSQL documentation
- Check the mcp-use MCP guide
- Join the MCP community discussions