andyWang1688/sql-query-mcp
by Various
A general-purpose MCP server that lets AI work with multiple databases within clear boundaries.
MCP
andyWang1688/sql-query-mcp
Added 1 June 2026
Overview
A general-purpose MCP server that lets AI work with multiple databases within clear boundaries. It is written in Python and provides a standardized interface for executing SQL queries across different database systems.
Best for
Best for
Developers needing a simple, controlled way to let AI assistants query multiple databases
Use cases
- Enable AI assistants to query production databases with controlled access
- Automate database reporting by connecting AI to multiple data sources
- Build secure database interactions for AI-driven analytics tools
Notes
A general-purpose MCP server that lets AI work with multiple databases within clear boundaries. It is written in Python and provides a standardized interface for executing SQL queries across different database systems.
4 stars on GitHub. Last updated 2026-05-22. Licensed MIT.
Use cases
- Enable AI assistants to query production databases with controlled access
- Automate database reporting by connecting AI to multiple data sources
- Build secure database interactions for AI-driven analytics tools
Pros
- Supports multiple database types through a single MCP interface
- Clear boundary enforcement helps prevent unintended data modifications
- Lightweight Python implementation easy to integrate into existing workflows
Cons
- Limited community adoption with only 4 stars on GitHub
- Documentation and examples may be sparse for complex setups
- Requires manual configuration for each database connection
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports multiple database types through a single MCP interface
- Clear boundary enforcement helps prevent unintended data modifications
- Lightweight Python implementation easy to integrate into existing workflows
Cons
- Limited community adoption with only 4 stars on GitHub
- Documentation and examples may be sparse for complex setups
- Requires manual configuration for each database connection
Pairs with
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