"Getting Help with GitHub Actions Workflow Coding" matching MCP servers:

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.

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.

Automates GitHub workflows (branch creation, testing, commit/push, PR) through natural language instructions in Claude Code.

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

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.

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

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.

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

Enables AI agents to create private GitHub issues for decisions, send email alerts, wait for human comments, and parse replies so work can resume. Supports guided setup and MCP integration without requiring separate AI API keys or an always-on cloud server.

GitHub's official MCP Server

A production-oriented MCP server for coding agents that enables multi-project management through secure file operations, Git integration, and safe command execution. It supports project discovery across multiple root directories and provides robust audit logging with both STDIO and HTTP transport options.

A utility that helps diagnose and fix GitHub Actions workflow failures by analyzing run logs, identifying common failure patterns, and suggesting specific fixes through a structured decision tree.

An MCP server that provides deterministic tools for AI assistants to standardize development workflows, including branch naming, commit validation, and PR checklists.

An MCP server that enables AI assistants to interact with GitHub via a fine-grained personal access token — pushing commits, managing branches, opening and merging PRs, creating issues, and reading repositories. It runs locally with no telemetry and supports a read-only mode.

MCP server for AI agents to securely access GitHub data, including listing repositories and user profile info via the GitHub API.

Local MCP server for safe GitHub developer workflows. Enables pulling main, creating feature branches, pushing them, and opening ready-for-review pull requests via tools like github_create_feature_branch and github_create_pull_request.

Analyzes and compares GitHub repositories, tracks star growth, and offers AI-powered README optimization to help grow open-source projects.

Enables autonomous AI agents and developers to interact with the GitHub REST API for repositories, pull requests, issues, actions, releases, tags, and user/org data through MCP tools. It uses token-efficient response summaries and optional 3-tier read-only safeguards to keep interactions safe and context-window friendly.

GitHub MCP server for Claude Code, Cursor, Cline, Windsurf, and any MCP-compatible client. Exposes GitHub tools (issues, pull requests, code search, file content) to your LLM via the Model Context Protocol.

Enables Claude Code to read and search project files, inspect git status and history, generate commit messages, and produce tailored code review checklists through MCP tools.