"Latest Breaking News and Hot Topics" matching MCP servers:

Fetches the latest version numbers for popular GitHub Actions from simonw/actions-latest, allowing users to easily check and update workflow versions.

Analyzes Git pull request diffs to detect breaking REST and GraphQL API schema changes, providing deterministic AST-level code review and breaking change alerts for CI/CD workflows.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Checks npm and PyPI packages for outdated versions, deprecation status, and breaking changes with cited sources, enabling AI agents to verify dependency freshness.

Detects breaking changes in a TypeScript library's public API and recommends the semver bump, comparing two npm releases, git refs or a working tree. Each finding is graded proven or review-only.

Enables AI agents to retrieve the latest semantic version tags for container images from Docker Hub, GHCR, Quay, and other OCI registries, allowing them to pin specific versions for reproducible deployments.

Enables AI coding agents to retrieve the latest stable versions of packages and tools across multiple ecosystems, preventing outdated dependency versions in generated code.

Jenkins HOT/QAT deployment assistant MCP server that enables agents to locate jobs, check branches, perform safe deployments with overwrite protection, and rollback deployments via natural language.

This MCP server lets you use Cursor IDE, or any MCP Client enabled agent, to use natural language to accomplish things with CircleCI, e.g: Find the latest failed pipeline on my branch and get logs

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

Enables checking project files like Dockerfile, .nvmrc, and CI workflows to determine whether pinned runtime, database, and OS versions are still supported, providing end-of-life dates, latest patches, and upgrade targets for 470+ products.

Bridges codebase structural analysis, architectural rules, and CI/CD validation with MCP clients, enabling LLMs to check blast radius and prevent breaking changes.

Enables AI agents to map cross-repository dependencies, detect breaking changes in API contracts, and assess impact across services.

A production-ready MCP server template that enables developers to quickly build and deploy MCP servers with dynamic tool/resource loading, YAML-based prompts, and seamless OpenShift deployment. Supports both local development with hot-reload and production HTTP deployment with optional JWT authentication.

Enables agents to plan and run requests from OpenAPI documents, verify live API responses against specs, diff spec versions for breaking changes, and snapshot or compare MCP servers including tool descriptions.

Laravel upgrade automation via MCP. Analyzers, tools & docs for Laravel 6-11 migrations. Breaking change detection. Works with any MCP client (Cursor, Claude Desktop).

Suggests the latest stable package versions when writing code.

Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

A production-ready template for building Model Context Protocol (MCP) servers in Python, using Docker Compose for containerized development and CI/CD.

Query Prometheus from CLI or any MCP client, with retries, caching, and an optional metrics exporter.

Enables AI coding agents to fetch the real latest versions of packages from npm, PyPI, crates.io and the Go module proxy, then check manifests or whole projects for outdated dependencies and rewrite them in place. It also reports the current releases and underlying dependency stacks of AI coding tools like Claude Code, Codex and Gemini CLI.

A boilerplate for building FastMCP servers, providing a basic setup for testing, linting, formatting, and publishing to NPM.

Provides Kubernetes deployment intelligence with typed query tools and AI-synthesized risk briefs, enabling users to list workloads, get detailed snapshots, query Prometheus metrics, record deployment history, and generate risk assessments before promoting to production.

Enables AI assistants to interact with Woodpecker CI to debug pipeline failures, analyze build logs, troubleshoot configurations, and perform pipeline and repository actions such as triggering, restarting, canceling, approving, activating, and updating settings.

. A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{

An open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.

Interact with OneDev for CI/CD spec editing, pull request review, and issue workflow automation etc.

MCP server that safely fixes npm audit vulnerabilities by planning, applying fixes one at a time, running tests after each, and auto-reverting failures to prevent breaking changes.

A Model Context Protocol server implementation that allows AI models to interact with and manage Spinnaker deployments, pipelines, and applications through a standardized interface.

A production-ready template for building Model Context Protocol servers in Python, featuring example tools, structured logging, and multiple transport protocols.