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"SQL-Based Technologies or Concepts" matching MCP servers:

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    A Model Context Protocol server for interacting with MSSQL and PostgreSQL databases, offering tools for schema exploration and SQL execution. It features configurable query modes for safety and supports advanced authentication methods like Windows Auth and SSL.
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    Enables read-only interaction with SQL databases through MCP, providing database metadata exploration, sample data retrieval, and secure query execution. Supports MySQL with multiple transport options and built-in security features including SQL injection protection and data sanitization.
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    MIT
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    A Model Context Protocol server that provides a standardized interface for interacting with SQL databases through the MCP protocol.
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    An AI-powered SQLite assistant that converts natural language to SQL queries with full schema awareness, enabling users to interact with databases using conversational language.
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    A Model Context Protocol server that provides AI assistants with comprehensive access to SQL databases, enabling schema inspection, query execution, and database operations with enterprise-grade security.
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    Enables secure interaction with SQL Server databases through natural language queries in Cursor IDE, with individual user credentials for complete traceability and auditing of all database operations.
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    Enables natural language and SQL querying across SQLite, MySQL, PostgreSQL, and MongoDB databases with support for bulk operations and schema inspection. It features a safety mechanism requiring explicit user confirmation for destructive actions like data modification and deletion.
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    Enables interaction with Microsoft SQL Server databases using both SQL Server and Windows Authentication. It supports flexible connection configurations, including read-only modes and encrypted communication for secure data management.
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    MIT
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    Enables seamless interaction with MySQL, PostgreSQL, and SQLite databases through the Model Context Protocol. Supports executing SQL queries and inserting data across multiple database types with flexible connection string configuration.
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    Enables AI models to interact with multiple database types (MySQL, MSSQL, Oracle, Sybase) through a unified interface with standardized tools for querying, inspecting schemas, and managing connections without requiring separate server configurations.
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    MIT
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    A TypeScript implementation of a Model Context Protocol server that enables language models to securely query PostgreSQL databases, including those behind SSH bastion tunnels.
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    Enables AI assistants to interact with SQL Server databases through natural language, providing capabilities for executing queries, exploring schemas, analyzing performance, backing up tables, and managing data with built-in safety limits.
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    Enables secure interaction with multiple SQL database engines (MySQL, PostgreSQL, SQLite, SQL Server) through a standardized interface. Supports schema inspection, safe query execution, and controlled write operations with built-in security restrictions.
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    Converts SQL queries between different database dialects using the sqlglot library to ensure cross-system compatibility. It allows users to list supported dialects and transpile SQL code from one syntax to another through the Model Context Protocol.
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    Enables secure database operations on SQL Server instances through a three-tier safety system, supporting schema exploration, query execution, performance analysis, and data export with configurable security levels from read-only to full development access.
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    Connects Microsoft Copilot Studio to Azure SQL Databases, enabling natural language interactions for data querying, record management, and schema inspection. It features 12 specialized tools for performing CRUD operations, executing SQL queries, and generating data visualizations like charts.
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    Enables AI assistants to interact with SQL Server Data Warehouses using natural language for automatic schema discovery and report generation. It ensures security by restricting operations to read-only SELECT queries through both code validation and database permissions.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    MIT
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    A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
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    A Model Context Protocol server that allows Large Language Models like Claude to execute SQL queries, explore database schemas, and maintain persistent connections to SQL Server databases.
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    Enables AI assistants to interact with Microsoft SQL Server databases through query execution, schema discovery, CRUD operations, stored procedures, and data export with built-in safety controls.
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    Apache 2.0
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    Enables AI assistants to interact with Microsoft SQL Server databases through query execution, schema discovery, CRUD operations, stored procedures, and data export with built-in safety controls.
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    Apache 2.0
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    A Model Context Protocol server that enables AI assistants (Cursor, Windsurf, Claude Code) to interact with Microsoft SQL Server databases by providing connectivity through environment-configurable connections.
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    MIT
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    A FastMCP server that provides natural language interaction with MS SQL databases, enabling users to query data, list tables, describe structures, and execute database operations through a conversational AI interface.
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    An MCP server for Microsoft SQL Server integration that enables users to query, monitor, and analyze databases directly through Claude. It supports schema exploration, performance analysis, and optional write operations via natural language commands.
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    An MCP server for identifying SQL injection vulnerabilities in web applications using various techniques like error-based, time-based, and union-based scanning. It supports bulk URL processing, WAF bypass strategies, and authenticated testing across multiple database systems.
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    Enables AI models to interact with MS SQL Server databases through a standardized interface. Supports executing SQL queries with parameters, listing tables, and describing table schemas.
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    Enables interaction with Microsoft SQL Server databases through T-SQL query execution, table exploration, and schema inspection. Supports configurable write protection and row limiting for safe database operations.
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    Provides direct SQL query access to Microsoft SQL Server databases with full CRUD operations, enabling AI assistants to execute queries, modify data, and manage database objects through a simplified interface.
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    An automated system that processes raw text through a three-stage pipeline to assess data quality, enhance information, and generate structured knowledge graphs. It provides tools for triple extraction with confidence scoring and creates interactive HTML visualizations of the resulting graph.
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    Enables querying and managing PostgreSQL and MySQL databases through natural language, supporting connection management, query execution, schema inspection, and parameterized queries with connection pooling.
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    An MCP server for MySQL databases that enables schema exploration, query execution, and resource access through a unified interface. It features a LangGraph-based agent that translates natural language into SQL queries with automatic error recovery and schema discovery.
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    Handles SQL query execution for a natural language interface to SQLite databases, enabling users to interact with databases using plain English rather than writing SQL manually.
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    MIT
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    Enables interaction with Microsoft SQL Server and Azure SQL databases through natural language, supporting queries, schema exploration, stored procedures, and complete database operations with connection pooling and security features.
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    MIT
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    A Model Context Protocol server that enables secure interaction with Microsoft SQL Server databases, allowing AI assistants to list tables, read data, and execute SQL queries through a controlled interface.
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    332
    MIT
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