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

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

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

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 querying Rick and Morty characters, locations, and episodes using the Rick and Morty API with no authentication required.

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

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

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.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

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

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

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.

Enables MCP-compatible clients to inspect Argo CD applications, check sync and health status, list resources, review events, refresh applications, and optionally trigger sync operations.

Enables LLMs to interact directly with generated REST services by discovering and invoking CRUD tools and reading exposed resources for list and get-by-id data.

Enables LLMs to discover and invoke CRUD operations and read-only data resources for generated services through the Model Context Protocol, alongside traditional REST endpoints.

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.