"Information about Microsoft Azure Cloud Platform" matching MCP servers:

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

Enables auditable, dry-run Azure operations such as Key Vault comparison, ADO job diagnosis, and cost analysis through MCP tools, with append-only logging and no cloud credentials required.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

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.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

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.

Enables MCP-compatible AI agents to deploy and manage applications on Google Cloud Run, including service deployment, listing, logging, and project creation.

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 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.

An MCP server that enables reviewing Azure DevOps Pull Request comments using the Azure CLI, with features like comment retrieval and status filtering.

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.

Enables interaction with Azure DevOps services including Boards, Repos, and Pipelines through natural language commands.

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 AI assistants to interact with Terraform Cloud workspaces and runs, including checking run status, listing workspaces, and retrieving detailed information about workspaces and runs.

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.

MCP server for managing Xcode Cloud workflows, builds, and test artifacts via the App Store Connect API.

Enables AI coding assistants to deploy and manage compatible web apps, isolated Postgres databases, and project file storage, while inspecting build logs, runtime errors, and usage through an OAuth-authenticated remote MCP connection.

Local MCP server enabling agents to track Xcode Cloud builds and access TestFlight crash reports through the App Store Connect API.