"How to interact with an Azure DevOps repository" matching MCP servers:

Enables AI assistants to query and manage Azure DevOps projects, boards, work items, repos, pull requests, and pipelines while enforcing governance boundaries such as access modes, project scoping, protected projects, delete gating, and typed confirmations.

Enables AI assistants to interact with Azure DevOps Server 2022 through natural language, enabling queries and operations on pipelines, pull requests, builds, and repositories.

Enables read-only interaction with Azure DevOps Classic Releases, including listing organizations, projects, release definitions, environments, and retrieving release variables through MCP tools.

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.

MCP server for Azure DevOps Git operations integration with AWS Q, enabling repository search, repository info retrieval, and access to pipeline variables and variable groups.

Focused local MCP server for Azure DevOps Services, Azure Repos, and Azure Boards. It provides ticket-reading and pull-request-review workflows through 31 MCP tools backed by Azure DevOps REST API 7.1.

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 work items, projects, wikis, and boards through natural language.

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

Enables AI assistants to interact with an on-premise Azure DevOps Server 2022, allowing users to list, view, create, and update work items through natural language.

A local MCP server that connects Claude Desktop, Claude Code, and Claude Chat to your Azure DevOps organization, enabling querying work items, reviewing pull requests, triggering pipelines, searching code, managing test plans, and updating wikis using plain language.

Enables AI assistants to search, create, update, and manage work items in Azure DevOps using natural language.

A local MCP server that bridges Claude Desktop/Cowork to the Azure DevOps CLI, enabling full use of az devops, az repos, az boards, az pipelines, and az artifacts commands.

A Model Context Protocol server that enables AI agents to interact with Azure DevOps wikis, providing capabilities for content search, page management, and hierarchical structure navigation.

Enables management of Azure DevOps work items including Epics, Features, User Stories, Tasks, and Bugs through natural language. Supports CRUD operations, WIQL queries, work item relationships, and retrieval of project metadata such as iterations and area paths.

A read-only MCP server connecting AI assistants to Azure DevOps Server (on-premises) for browsing projects, repos, builds, work items, releases, pipelines, and test results.

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 AI assistants to manage work item attachments on Azure DevOps Server (on-premise) via the REST API, supporting listing, uploading, deleting, and downloading attachments.

Connects MCP-compatible AI coding agents to self-hosted instances so they can discover projects, repositories, and branches, then create or update pull requests from a local Git context and return the PR number and browser URL. An explicit repository allowlist restricts all repository and pull request reads and writes.

An MCP server designed to retrieve DevOps skills, code standards, and SAP Fiori documentation templates from a GitHub repository. It allows users to list available resources and fetch specific best practices to integrate directly into their development workflow.