"Using Azure DevOps for Task Queries and Code Reviews" matching MCP servers:

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 open-source server that enables AI agents to interact with Azure DevOps projects through the Model Context Protocol, providing tools for managing work items, wikis, and repositories to streamline development workflows.

A Model Context Protocol server that integrates with Azure DevOps, enabling users to query work items, access backlogs, and perform various Azure DevOps operations through a standardized interface.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

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

MCP server that provides tools to interact with Azure DevOps, including querying work items, repositories, pull requests, builds, commits, and creating work items via a standardized interface.

Enables natural language management of Azure DevOps work items, sprints, and boards through MCP. Supports multi-project, enterprise authentication, and Docker deployment.

Enables AI coding assistants to run static analysis on GitHub repositories, raw code snippets, or local directories to detect cloud cost leaks in Terraform/AWS configs, PostgreSQL migration table-lock hazards, and OWASP/Next.js API security gaps. Each finding returns structured severity, line-level detail, and drop-in fixes.

Integrates GitHub Copilot Agent with Azure DevOps to fetch, analyze, and report bug data, allowing you to query bugs, generate dashboards, and export reports via natural language.

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

Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).

Provides structured DevOps practices and templates (tracking, documentation, runbooks) to streamline AI-assisted PoC development, reducing CLAUDE.md bloat and ensuring consistency across projects.

An MCP server for automated code reviews on Azure DevOps pull requests, enabling AI assistants to fetch PR details, validate requirements, post inline comments, and set review votes.

MCP server that scrapes Yandex Maps business reviews and company info, exposing them to AI assistants via three tools. No API key required, uses headless browser.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Enables AI assistants to interact with Azure DevOps repositories and pull requests, including listing PRs, fetching diffs, adding comments, and performing automated code reviews.

Enables interaction with Azure DevOps work items through AI assistants like VS Code/GitHub Copilot. Supports fetching work item details and updating work item statuses using natural language commands.

Enables fetching and analyzing Gemini Code Assist reviews from GitHub pull requests, with smart defaults and pagination.

Extracts Glassdoor employer reviews and returns them as structured JSON, usable as an MCP tool in AI agents.

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

A cross-AI-agent local task context sharing MCP server that allows clients like Codex, Claude Code, Hermes, and VS Code to read and write the same task state, enabling task tracking and context distillation.

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.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, providing capabilities for work item management, project management, and team collaboration through natural language.

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 long-running coding or documentation tasks to save incremental checkpoints, resume after interruptions, restore any previous step, and hand off work across sessions or machines using only the Python standard library.

Enables agents to select the provably optimal set of candidate actions under a budget, with optional conflicts and prerequisites, and to re-plan to the single best next action after each outcome. Also validates any proposed selection for feasibility.

Azure DevOps MCP tools for Claude Code and Codex CLI, enabling interaction with boards, work items, repos, and pull requests via natural language.