GitHub Actions Model Context Protocol Server

0
0 Reviews
24 Stars
A comprehensive MCP for managing GitHub Actions workflows, including listing, triggering, canceling, rerunning, and analyzing workflows efficiently, supporting multiple AI coding assistants.
Added on:
Created by:
Apr 26 2025
GitHub Actions Model Context Protocol Server

GitHub Actions Model Context Protocol Server

0 Reviews
24
0
GitHub Actions Model Context Protocol Server
A comprehensive MCP for managing GitHub Actions workflows, including listing, triggering, canceling, rerunning, and analyzing workflows efficiently, supporting multiple AI coding assistants.
Added on:
Created by:
Apr 26 2025
Koichi Okuda
Featured

What is GitHub Actions Model Context Protocol Server?

This MCP server facilitates full control over GitHub Actions workflows. Users can list available workflows, get detailed information, trigger new runs, cancel ongoing workflows, and rerun previous workflows with ease. It provides detailed analytics on workflow runs, including job statuses and error messages, enhancing troubleshooting. Designed with security features such as timeout handling and URL validation, it supports AI assistants like Claude, Codeium, and Windsurf, enabling automation and integration for developers and DevOps teams to streamline CI/CD processes seamlessly.

Who will use GitHub Actions Model Context Protocol Server?

  • Developers
  • DevOps engineers
  • QA teams
  • Automation specialists
  • AI coding assistant users

How to use the GitHub Actions Model Context Protocol Server?

  • Step 1: Clone the repository and build the project using 'npm install' and 'npm run build'
  • Step 2: Configure your AI coding assistant (e.g., Claude, Codeium, Windsurf) with the MCP server URL and your GitHub token
  • Step 3: Start the server with 'npm run start' or use the batch script for Windows
  • Step 4: Use your AI assistant to list, trigger, or analyze workflows through supported commands
  • Step 5: Monitor workflow execution and troubleshoot with detailed run analysis

GitHub Actions Model Context Protocol Server's Core Features & Benefits

The Core Features
  • List workflows in a repository
  • Get detailed workflow information
  • Trigger new workflow runs
  • Cancel ongoing workflows
  • Rerun previous workflows
  • Get workflow run details and job statuses
  • Analyze workflow runs and jobs
  • Support for multiple AI coding assistants
The Benefits
  • Streamlines workflow management via AI integration
  • Improves efficiency with one-click trigger and rerun
  • Provides detailed analytics for troubleshooting
  • Supports security and API variation handling
  • Compatible with popular AI coding tools

GitHub Actions Model Context Protocol Server's Main Use Cases & Applications

  • Automating CI/CD pipeline management with AI assistance
  • Analyzing and troubleshooting workflow failures
  • Triggering workflows based on external events or schedules
  • Integrating GitHub Actions management into AI-driven productivity tools

FAQs of GitHub Actions Model Context Protocol Server

Developer

  • ko1ynnky

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

Monitoring

PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A cross-platform desktop app providing offline access, performance, and detailed metrics for MCP system interaction.
Enables advanced browser automation for viewport management, screenshot capture, and content extraction using TypeScript.
A GUI tool for managing MCP servers across clients with seamless toggling and real-time monitoring features.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A server for sending notifications to self-hosted ntfy servers with secure token authentication support.
A Python SDK-based MCP supporting Elasticsearch 7 and 8 for search, mapping, health, and stats monitoring.
A comprehensive suite of containers for efficient microservices deployment and management.
A WebSocket-based real-time chat application with user authentication, message history, and health monitoring features.
A desktop app to manage omni-ai MCP servers, providing development tools and deployment functionalities.