"DevOps tools and practices including CI/CD pipelines, GitOps, and DevSecOps" matching MCP servers:

CI CD Generator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Integrates SAST, DAST, IAST, and SCA security testing tools for AI-powered DevSecOps automation, enabling comprehensive security scanning and reporting through natural language interfaces.

Security auditor for CI ecosystems that detects supply-chain and injection flaws in CI/CD configuration files across seven CI platforms, providing taint analysis, remediation, and compliance scoring.

Enables read-only inspection of pipeline jobs, pods, configurations, and logs from the dev EKS cluster and log store.

MCP server for GitLab CI/CD — pipelines, jobs, schedules, branches, tags, merge requests and repository files. Works with any GitLab (SaaS gitlab.com or self-hosted) via python-gitlab.

Enables LLM clients to access DevSecOps tooling such as CI/CD pipeline status, vulnerability triage, log search, and dependency scanning through MCP, turning AI copilots into security-aware engineering partners.

Enables read-only inspection of Git repository status and diff summaries, along with validation of OpenTofu and Ansible configurations, through a strictly limited, non-mutating toolset.

Gives an LLM agent a fixed, typed set of on-call tools over a self-hosted GitOps Kubernetes platform, reading metrics, logs, alerts and deploy history from Prometheus, Loki, Alertmanager and GitHub without any cluster write access. Rollbacks and config changes are proposed as one-shot ids that require explicit human confirmation before becoming pull requests against the Git repository, with both steps recorded in an audit log.

Enables headless Claude to review pull requests and triage CI failures on a real GitHub repository, routing all GitHub write actions through the MCP server.

Enables detection and remediation of Kubernetes GitOps drift via MCP tools, supporting drift detection, policy evaluation, patch application, PR generation, and audit trail retrieval.

MCP server with the watch_ci tool that polls GitHub Actions until a commit's CI run finishes, then returns the outcome and failed log tail in one call.

MCP server for Woodpecker CI: read repositories, pipelines and logs, and drive builds, secrets and crons

Exposes GitHub Actions state as four compact, read-only tools for triaging CI failures, letting agents answer why CI is red without leaving the chat.

Provides tools to analyze and debug GitHub Actions CI failures, including summarizing failures, detecting flaky tests, and suggesting fixes.

A TypeScript-based MCP server scaffold designed for monitoring and interacting with Drone CI environments. It provides tools for webhook parsing, HMAC signature verification, and state management for CI/CD pipelines.

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.

Enables AI agents to monitor and debug GitLab CI/CD pipelines by providing tools to list pipelines, retrieve job logs, and analyze failure root causes. It features automated error pattern extraction and failure analysis to streamline pipeline troubleshooting.

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

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

Enables AI assistants to debug pipeline failures, analyze build logs, troubleshoot CI/CD configurations, and manage pipelines and repositories through the Model Context Protocol.