"Information about SQL" matching MCP servers:

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

Enables AI agents to dynamically register and query MySQL-compatible databases at runtime with built-in destructive SQL protection.

An MCP server that lets Claude query a mock business SQL database in plain language through read-only tools, with server-side guardrails that enforce SELECT-only queries and block access to sensitive payment data.

MCP server for Dameng database, providing tools to test connection, list tables, count tables, and execute SQL via environment variables.

An MCP server that connects LLMs to SQL databases for development assistance, enabling query execution, schema exploration, and data manipulation while providing safety controls against destructive operations.

A Model Context Protocol server that enables LLMs like Claude to interact with Microsoft SQL Server databases through natural language, supporting queries, data manipulation, and table management.

Backend service implementing the Model Control Panel protocol that connects to Apache Doris databases, allowing users to execute SQL queries, manage metadata, and potentially leverage LLMs for tasks like natural language to SQL conversion.

MCP server enabling AI agents to programmatically connect to and control Apache Superset instances, allowing users to manage dashboards, charts, databases, datasets, and run SQL queries through natural language interactions.

Enables execution of SQL queries and management of Microsoft SQL Server database connections through the Model Context Protocol.

Enables validation and dry-run analysis of BigQuery SQL queries without execution. Provides cost estimates, schema previews, and syntax validation for BigQuery queries.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools for calculations and greetings, plus system information resources.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

A minimal MCP server that allows executing SQL queries on PostgreSQL databases with configurable read-only or write permissions.

Provides AI-driven development tools including file system operations, multi-language code analysis with tree-sitter, Git operations, code execution, and system information retrieval.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.

MCP server to provide Sketch layout information to AI coding agents like Cursor

Provides read-only access to PostgreSQL databases, enabling LLMs to inspect database schemas and execute read-only SQL queries within a secure transaction context.

Enables AI assistants to query YashanDB using natural language through SQL operations.

A self-hosted MCP server providing stateful code execution (Python/JavaScript) with SQL query support, file I/O, and artifact management, replacing Azure Code Interpreter.

Execute Python, JavaScript, or SQL code in a sandboxed environment and retrieve stdout, execution time, and errors with pay-per-call via x402 (USDC on Base L2).