"Information about MCP (Microsoft Certified Professional) or related topics" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

An MCP server that enables sending Markdown-formatted notifications to Microsoft Teams channels through a simple tool interface.

This read-only MCP Server allows you to connect to Microsoft OneDrive data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Microsoft OneDrive (https://www.cdata.com/drivers/onedrive/download/mcp).

Enables management of Microsoft 365 users, licenses, and groups through Microsoft Graph API. Supports user provisioning, license assignment, group management, and automated M365 administration workflows.

Enables AI assistants to search, filter, and analyze Microsoft events (conferences, workshops, webinars) using the Microsoft Events API.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

This read-only MCP Server allows you to connect to Microsoft Exchange data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This read-only MCP Server allows you to connect to Microsoft Project data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

An MCP (Multi-Agent Conversation Protocol) server that enables interaction with Google's Managed Service for Microsoft Active Directory through its OpenAPI, allowing users to manage identity resources through natural language.

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!

Universal Microsoft Graph API gateway providing access to 1000+ endpoints for managing Microsoft 365 services including Teams, SharePoint, Exchange, Intune, security, compliance, and Azure AD with dynamic tool generation and advanced features like batch operations and webhooks.

Enterprise-grade MCP server for Vibe APIs, enabling AI agents to manage projects, repositories, buckets, and retrieve activity data.

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.

Full-text and structural code search for a large monorepo, exposing results as MCP tools so Claude can query the codebase directly without copy-pasting.

Enables AI agents to debug code inside VS Code by setting breakpoints, stepping through execution, inspecting variables, and evaluating expressions across multiple languages.

Enables building MCP servers using TypeSpec, with tools to scaffold, compile, and learn TypeSpec.

The Power BI Modeling MCP Server implements the MCP specification to create a seamless connection between AI agents and Power BI semantic models. This allows developers and AI applications to interact with Power BI models in entirely new ways, from using natural language to execute modeling changes to autonomous AI agentic development workflows.