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

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.

Provides a standardized interface for interacting with Microsoft Teams tools and services through the Model Context Protocol.

Automatically scans SQLite databases and generates typed CRUD tools for each table, allowing natural language database interaction without exposing raw SQL.

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.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

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.

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.

An MCP server for Microsoft Graph, exposing 60 tools across calendar, email, meetings, Teams chat, files, people, directory, tasks, and OneNote over stdio or Streamable HTTP.

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.

Enables AI assistants to query SQLite databases using plain language, with strict read-only enforcement and column-level access control to prevent damage or unauthorized data reads.

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.

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.

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.

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.

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.

A Model Context Protocol (MCP) server for Microsoft SQL Server that provides tools for database operations, data analysis, and visualization generation.

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.

Provides a read-only PostgreSQL SQL surface for LLM agents via MCP, with defense-in-depth security layers for safe database queries.

MCP server for SQL Server database inspection and querying, with connection pooling, security features, and a web manager UI.

Enables AI assistants to execute SQL queries and explore databases, tables, and catalogs on Databricks using Unity Catalog.