"Microsoft SQL Server and Microsoft Certified Professional (MCP) Certification Information" matching MCP servers:

Model Context Protocol servers for Microsoft 365, enabling AI assistants to interact with Calendar, Contacts, OneDrive, Outlook, and SharePoint via the Microsoft Graph API.

Enables AI assistants to connect and query Microsoft SQL Server databases using natural language, executing read-only SQL queries for safe data inspection and analysis.

A remote MCP server for Microsoft To Do that enables read/write access to tasks, lists, and checklists from ChatGPT or Claude, with multi-account support and Azure deployment.

Connects AI assistants to Microsoft 365 accounts to manage emails, calendars, files, and Teams messages. It offers 71 tools and supports multi-user environments through a secure, customizable server architecture.

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.

It enables AI agents to securely perform directory administration, automation, security auditing, health diagnostics, and compliance reporting with strict guardrails, write-approval workflows, and immutable audit logs.

An easy-to-use bridge that lets AI assistants like Claude and Cursor IDE directly query and explore Microsoft SQL Server databases. No coding experience required!

A Model Context Protocol server that enables interaction with Microsoft 365 services (Excel, Calendar, Mail, OneDrive, Teams, etc.) through the Graph API, allowing AI assistants to manage Microsoft 365 resources via natural language.

Enables MCP clients to securely access and operate a Microsoft 365 tenant through the full Microsoft Graph API, covering mail, calendar, files, Teams, SharePoint, Planner, OneNote, Excel, admin, security, and more with 219 tools and guarded write capability.

A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Microsoft Office services through the Graph API.

Enables natural-language querying and analysis of an e-commerce SQLite database via MCP, with read-only SQL execution, table inspection, and AI-generated answers.

Runs SQL statements in memory against real PostgreSQL 18 and SQLite 3.49 engines after loading your schema and sample rows, returning each statement's own verdict: errors with line, column, and hints, constraint violations, or the resulting rows. It also compares both dialects to expose portability differences, all with no database server, network, or API key.

Enables AI assistants to safely explore and query MySQL, MariaDB, PostgreSQL, SQLite and StarRocks databases through read-only tools for schema listing, table description, schema search, row sampling, query execution, and plan explanation. Enforces least-privilege accounts, engine-level read-only sessions with timeouts, parsed SQL guardrails, and column masking so runaway or unsafe queries are refused.

A read-only MCP server for SQL Server and PostgreSQL that enables exploring and querying databases (schemas, tables, views, procedures, indexes, foreign keys) and running arbitrary SELECT queries.

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.

An MCP server that connects AI assistants to Microsoft SQL Server databases, enabling schema exploration and read-only queries safely.

Exposes Microsoft Fabric operations as MCP tools, with 105 tools across 17 domains including lakehouses, warehouses, notebooks, pipelines, and real-time analytics, handling long-running operations and supporting multiple authentication modes.

GenAIScript is a JavaScript runtime dedicated to build relaible, automatable LLM scripts. Every GenAIScript can be exposed as a MCP server automatically.

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.

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.

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.

A Model Context Protocol (MCP) server that provides joke-fetching capabilities, demonstrating how to deploy an MCP Server and integrate it with Microsoft Copilot Studio.

MCP server for querying H3Yun SQL data, enabling AI to execute read-only SQL queries and troubleshoot H3Yun business issues.

A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.

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.

Enables interaction with Microsoft 365 and Office services through the Graph API, covering email, calendar, files, tasks, contacts, Teams, SharePoint, and more with configurable read-only and tool-filtering controls.

A Model Context Protocol (MCP) server that enables integration of joke delivery capabilities into Microsoft Copilot Studio and GitHub Copilot, allowing users to request and receive various types of jokes through natural language.

A server implementing the Model Context Protocol (MCP) that delivers jokes upon request, demonstrating how to connect AI models to data sources and tools within Microsoft Copilot Studio.

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.

Enables querying SQL Server databases using natural language through Claude.