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"Understanding SQL Server Schema and Querying" matching MCP servers:

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    An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.
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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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    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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    143
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    A MCP server that exposes GraphQL schema information to LLMs like Claude. This server allows an LLM to explore and understand large GraphQL schemas through a set of specialized tools, without needing to load the whole schema into the context
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    MIT
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    A MCP server that exposes OpenAPI schema information to LLMs like Claude. This server allows an LLM to explore and understand large OpenAPI schemas through a set of specialized tools, without needing to load the whole schema into the context
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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 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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    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 a standardized interface for interacting with SQL databases through the MCP protocol.
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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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    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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    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 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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    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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    • Apple
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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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    A Model Context Protocol server that provides read-only access to PostgreSQL databases with enhanced multi-schema support, allowing LLMs to inspect database schemas across multiple namespaces and execute read-only queries while maintaining schema isolation.
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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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    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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    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 interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
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    Apache 2.0
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    Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.
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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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    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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    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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    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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    10
    MIT
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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 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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    MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.
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    Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.
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    MIT