"How to manage and create GitHub Actions workflows" matching MCP servers:

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Connects AI assistants to GitHub Actions workflows to monitor CI/CD pipelines, view run logs, diagnose failures, and optionally trigger or manage workflows with granular permission controls.

Analyzes GitHub Actions workflows and performance, helping identify bottlenecks, failures, and optimization opportunities in CI/CD pipelines.

Audits GitHub Actions workflow files for supply-chain risks like script injection, leaked tokens, unpinned actions, and broad permissions.

Enables managing GitHub Actions workflows through MCP, including listing and inspecting workflows, triggering workflow_dispatch and repository_dispatch events, and monitoring or canceling workflow runs.

MCP server for GitHub Actions — view workflow runs, read logs, re-run failed jobs, and manage CI/CD.

GitHub Actions Model Context Protocol Server that allows you to create, manage, monitor, and interact with workflows.

An MCP server that enables AI assistants to manage GitHub Actions workflows by providing tools for listing, viewing, triggering, canceling, and rerunning workflows through the GitHub API.

Enables scanning GitHub Actions workflow YAML for real-world security vulnerabilities such as script injection from attacker-controlled expressions, unpinned third-party actions, missing permissions blocks, and dangerous pull_request_target checkouts. It returns each finding with its exact location, an explanation of the risk, and a concrete remediation.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

Enables reviewing GitHub Actions workflows for outdated actions, deprecated Node runtimes, retired runners, deprecated commands, and security risks, with file, line, and fix for each finding.

Scaffold and audit Starter Series projects — MCP server, Claude Code skill, and CLI in one package.

A Model Context Protocol implementation that enables LLMs to execute complex, multi-step workflows combining tool usage with cognitive reasoning, providing structured, reusable paths through tasks with advanced control flow.

An MCP server that turns CI failures, pull requests, security alerts, and Slack threads into Linear issues, Slack posts, changelogs, docs, and reports with evidence attached, through 25 agent-run workflows over 59 tools spanning GitHub, Linear, Slack, Notion, Google Docs, Google Calendar, Google Sheets, Firecrawl, and Tavily. It also handles credential setup in the OS keychain and pauses for approval before any create, send, change, or delete call.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

A CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.

Run dynamic, multi-agent workflow scripts — agent(), parallel(), pipeline() — over real coding agents (Claude Code and OpenAI Codex), with deterministic journaling, resume, token budgets, and git-worktree isolation.

Run YAML workflows as MCP tools so agents can automate real tasks with one server.

MCP server for authoring, validating, simulating, and publishing workflows for the Runbook workflow engine, including branch and run management.

Enables comprehensive interaction with GitHub repositories, including code management, issues, pull requests, and full GitHub Actions workflow control with triggering, monitoring, and artifact management capabilities.