"How to interact with SQL databases" matching MCP servers:

C# SQL Agent MCP server featuring raw SQL input, strict AST validation, and an embedded Admin UI. Eliminates LLM hallucinations and security risks across 6 major databases.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Sql Builder AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables deterministic SQL query synthesis from tabular schemas and query verification via MCP, with zero external dependencies.

140+ T-SQL static code analysis rules for SQL Database Projects

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.

mcp-fetch

An easy-to-use bridge that lets AI assistants like Claude and Cursor IDE directly query and explore Microsoft SQL Server databases. No coding experience required!

A read-only MCP server for Microsoft SQL Server that enables metadata discovery, parameterized queries, and query analysis with profile-based configuration and strict no-DML/DDL enforcement.

Official MCP server for Shipmail, enabling agents to manage domains, mailboxes, messages, threads, webhooks, and suppressions via natural language.

TO DO microsoft

MCP server that exposes Google's Veo2 video generation capabilities, allowing clients to generate videos from text prompts or images.

Remote MCP server for auditing app surfaces in AI agent ecosystems, checking recommendation status, and creating distribution plans.

Enables AI assistants to interact with PostgreSQL databases through natural language, with schema-aware query generation and enterprise safety controls.

Enables AI assistants to interact with both local SQL Server and Azure SQL Database through natural language, supporting queries, data manipulation, and schema operations with built-in security features.

Connect and interact with MySQL databases seamlessly. Execute SQL queries, manage database connections, and retrieve data directly through AI assistants. Enhance your AI capabilities with structured access to your MySQL data.

Enables AI assistants to interact with multiple SQL databases (PostgreSQL, MySQL, SQL Server, SQLite, Trino) through MCP, reusing existing DBeaver connections for queries, schema management, and transactions, with SSH tunneling and read-only mode support.

Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.