"Introduction to Azure DevOps and its features" matching MCP servers:

Enables AI agents to interact with Azure DevOps through natural language, supporting work items, pull requests, sprints, boards, teams, repositories, and wiki pages.

An MCP server that exposes 41 Azure DevOps tools to AI assistants, enabling management of pipelines, repositories, pull requests, releases, work items, test management, and wikis through natural language.

An MCP server that enables AI assistants to interact with Azure DevOps projects, work items, repositories, pipelines, wikis, and more via 21 tools.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps resources including projects, work items, repositories, pull requests, branches, and pipelines through a standardized protocol.

Enables users to securely connect Claude Desktop to Azure DevOps for managing work items, metadata, comments, pull requests, and code reviews.

Enables LLMs to query Azure service pricing via the public Azure Retail Prices API, with tools for searching prices, estimating costs, comparing regions, and listing services.

An MCP server for Azure DevOps that allows users to manage work items, sprints, iterations, and attachments. It supports custom WIQL queries and includes pre-defined prompts for common tasks like sprint planning, bug reporting, and daily standup generation.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

Enables AI assistants to search and filter Azure platform updates, including previews, general availability, and retirements, through natural language queries.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

An MCP server for Azure development and operations, enabling Cosmos DB queries, Service Bus messaging, and PIM role activation.

MCP server for Azure resource management, AI Foundry, and Entra ID — inspect and operate Azure infrastructure through AI agents.

Enables AI assistants to search and read Azure documentation using full-text search and section filtering, with content retrieval from Microsoft's official Azure docs repository.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

Enables Azure SQL Database performance and administration through typed execution, query benchmarking, and managed DBA operations.

A unified MCP server that enables AI assistants to interact with Microsoft 365 and Azure resources through Azure CLI and Microsoft Graph API, running in a single Docker container.

An AI-powered MCP server unifying Jira, GitHub, and Confluence integrations, enabling sprint health analysis, smart issue creation, and release notes generation via natural language.

An MCP server that exposes core Azure services as read-mostly tools any MCP client can call, including Blob Storage, Key Vault, Service Bus, and Resource Manager.