"DevOps tools: Docker, Kubernetes, ArgoCD, and Terraform" matching MCP servers:

An MCP server for Azure DevOps work item management that enables AI assistants to create, query, update, and manage work items, sprints, and more.

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

Enables AI assistants to interact with Azure DevOps APIs for managing projects, work items, repositories, pull requests, pipelines, and more through natural language.

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.

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.

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.

Enables work item management in DevOps Plan systems, allowing users to create, retrieve, filter, and delete work items, as well as manage applications, projects, components, and work item types through natural language.

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

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.

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.

Enables explicit multi-account routing to Azure DevOps Services for managing projects, repositories, pull requests, work items, and pipelines with isolated credential profiles and strict scoped tools.

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.

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.

Enables AI assistants to interact with Azure DevOps projects, work items, repositories, pull requests, branches, and pipelines through the Model Context Protocol, including on-premises Azure DevOps Server support.

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.

Provides Azure DevOps tooling for AI agents, enabling interaction with projects, work items, repositories, and pipelines through natural language.

Multi-user wrapper around Microsoft's Azure DevOps MCP server, enabling AI agents to authenticate per-user and interact with Azure DevOps tools via isolated PATs.

Enables interaction with Azure DevOps services including work items, repositories, pipelines, wikis, and test plans through a local MCP server that provides direct access to Azure DevOps REST APIs from your code editor.

Enables AI agents to interact with Azure DevOps resources such as projects, builds, repositories, work items, test plans, and wikis through natural language using the Model Context Protocol.

Enables managing Azure DevOps work items such as PBIs, tasks, and bugs, along with their comments, directly from MCP-compatible clients like Claude Desktop or Cursor.

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

Enables interaction with Azure DevOps services including work items, builds, releases, test plans, repositories, and search via natural language commands from a code editor.

Brings on-premises Azure DevOps Server (including TFVC) to AI assistants with 49 tools for work items, repositories, pipelines, test plans, and wiki, along with profile-based secrets and write safety layers.

A reference server implementation for the Model Context Protocol that enables AI assistants to interact with Azure DevOps resources and perform operations such as project management, work item tracking, repository operations, and code search programmatically.

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 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.

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.

Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.