"AWS DevOps automation tool with documentation retrieval and configuration analysis" matching MCP servers:

A dynamic Azure DevOps MCP server that automatically switches authentication context based on the current working directory, enabling seamless integration with multiple Azure DevOps organizations and projects.

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.

Provides tools and slash commands to onboard developers and manage DevOps workflows including Git operations, Docker containerization, GitHub Actions CI/CD, GitHub Container Registry, SonarCloud code analysis, and Azure container deployments.

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 searching and managing Docker images and tags, as well as querying GitLab CI/CD references, versions, and pipeline configurations through a DevOps API.

Turns any AI coding agent or MCP client into a governed DevOps engineer by exposing policy-enforced tools for Kubernetes, Docker, Jira, Git/PR, CI/CD, AWS, Terraform, and incident response, with approvals, audit logging, secret redaction, and rollback enforced outside the model.

Devops AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables read-only integration with GitHub, Jenkins, and Artifactory for DevOps monitoring, analysis, and troubleshooting. Provides repository inspection, build log retrieval, and artifact management through natural language.

An MCP server for managing AWS ECS clusters, services, tasks, and container logs. Enables AI assistants to perform operations like scaling, deployments, and log retrieval via 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.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS 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.

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 test execution and management through MCP clients, allowing retrieval of projects, listing tests, executing tests with browser selection, and monitoring results.

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.

Enables automated deployments, environment management, snapshots, and deployment monitoring through DevOps Deploy's REST API.

Enables AI assistants to interact with Gitea repositories through intelligent tools for issue/PR management, workflow analysis, compliance checking, and content generation, plus 200+ CLI commands for complete CRUD operations.

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.