DB Connect MCP server

db-connect-mcp - Multi-Database MCP Server

<!-- mcp-name: io.github.yugui923/db-connect-mcp -->

A read-only MCP (Model Context Protocol) server for exploratory data analysis across multiple database systems. This server provides safe, read-only access to PostgreSQL, MySQL, and ClickHouse databases with comprehensive analysis capabilities.

Demo

Quick Start

1. Install:

pip install db-connect-mcp

1. Add to Claude Desktop claudedesktopconfig.json:

{
     "mcpServers": {
       "db-connect": {
         "command": "python",
         "args": ["-m", "db_connect_mcp"],
         "env": {
           "DATABASE_URL": "postgresql://user:pass@localhost:5432/mydb"
         }
       }
     }
   }

1. Restart Claude Desktop and start querying your database!

Note: Using python -m dbconnectmcp ensures the command works even if Python's Scripts directory isn't in your PATH.

Features

🗄️ Multi-Database Support

• PostgreSQL - Full support with advanced metadata and statistics
• MySQL - Complete support for MySQL and MariaDB databases
• ClickHouse - Support for analytical workloads and columnar storage

🔍 Database Exploration

• List schemas - View all schemas in the database
• List tables - See all tables with metadata (size, row counts, comments)
• Describe tables - Get detailed column information, indexes, and constraints
• View relationships - Understand foreign key relationships between tables

📊 Data Analysis

• Column profiling - Statistical analysis of column data
• Basic statistics (count, unique values, nulls)
• Numeric statistics (mean, median, std dev, quartiles)
• Value frequency distribution
• Cardinality analysis
• Data sampling - Preview table data with configurable limits
• Custom queries - Execute read-only SQL queries safely
• Object search - Find schemas, tables, views, columns, and indexes without loading the full catalog
• Query plans - Inspect estimated plans or opt into EXPLAIN ANALYZE where supported

🔒 Safety Features

• Read-only enforcement - All connections are read-only at multiple levels
• Query validation - Only SELECT and WITH queries are allowed
• Automatic limits - Queries are automatically limited to prevent large result sets
• Connection string safety - Automatically adds read-only parameters
• Database-specific safety - Each adapter implements appropriate safety measures

🔭 Observability

db-connect-mcp inherits the MCP SDK's built-in OpenTelemetry server instrumentation. The API is a no-op until the launching process configures an SDK and exporter. Review exporter sampling and redaction before production use, because database identifiers and error details may be sensitive.

💡 Best Practices

Tip: db-connect-mcp works best with databases that have proper comments on tables and columns. When your database includes descriptive comments, the MCP server can provide richer context to AI assistants, leading to better understanding of your data model and more accurate query suggestions.

Adding comments in PostgreSQL:

Shortened. The full README is on GitHub.