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"Converting Natural Language to SQL Queries" matching MCP servers:

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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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    14
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    Enables secure SQL query execution on MySQL databases with authentication and permission control, allowing users to explore database tables and run read-only queries.
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    Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.
    Last updated
    1,567
    BSD 3-Clause
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    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.
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    5
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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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    MIT
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    An extensible read-only MCP server for SQL databases, enabling schema exploration and safe SELECT queries via tools like list_schemas, list_tables, describe_table, and execute_query.
    Last updated
    MIT
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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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    5
    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.
    Last updated
    15,366
    3
    MIT
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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.
    Last updated
    1
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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.
    Last updated
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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.
    Last updated
    16
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    MIT
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    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    Last updated
    1
    MIT