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"Techniques for Analyzing and Interacting with Large MS SQL Databases" matching MCP servers:

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    Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.
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    Automatically scans SQLite databases and generates typed CRUD tools for each table, allowing natural language database interaction without exposing raw SQL.
    12
  • A
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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.
    MIT
  • A
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    Production-ready integration of Microsoft Agent Framework with MCP, enabling AI agents to access tools like weather queries, calculations, and Taiwan stock prices through SSE/HTTP streaming transport with Azure OpenAI GPT-4 backend.
    2
    MIT
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    Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.
    MIT
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    A cloud vision MCP server that enables text-only LLMs like DeepSeek to analyze images via OpenAI-compatible APIs (e.g., SiliconFlow), offering a single analyze_image tool with support for URL/data URLs and automatic model fallback.
    1
    MIT
  • A
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    A governed SQL gateway that exposes typed tools to AI agents, compiling safe read-only queries from a semantic layer while blocking PII before execution, supporting SQL Server, Postgres, and SQLite.
    9
    MIT
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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.
    5
  • A
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    A read-only MCP server for SQL Server database introspection that enables Claude to explore and query databases via tools like listing objects and executing SELECT queries.
    20
    1
    MIT
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    quality
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    Enables AI agents to interact with Microsoft Fabric by exposing tools for managing workspaces, notebooks, SQL queries, pipelines, and Livy Spark sessions. It provides a comprehensive set of operations for data engineering and analytics tasks using standard Azure authentication.
    37
    4
    MIT
  • A
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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.
    5
    1
    MIT
  • A
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    quality
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    Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.
    1
    3
    MIT
  • A
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    quality
    F
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    Read-only MCP server for SQL databases (SQL Server, Postgres, SQLite) with multi-server support and three-layer safety using AST validation and linting.
    MIT
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    quality
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    maintenance
    Exposes Azure Entra ID user and license management as MCP tools over HTTP-SSE, enabling operations such as user creation, group assignment, and license management via Microsoft Graph API.
    Apache 2.0
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    Read-only MCP server for SQL databases (SQLite/PostgreSQL) that enables listing tables, describing schemas, and executing SELECT queries with safety guardrails.
    MIT
  • A
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    quality
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    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0