Frequently Asked Questions about GitHub Workflow Debugger MCP

Q: What is the GitHub Workflow Debugger MCP?

A: The GitHub Workflow Debugger MCP is a utility designed to diagnose and fix failures in GitHub Actions workflows. It uses the GitHub API and Model Context Protocol (MCP) to analyze workflow runs and suggest fixes.

Q: What is Model Context Protocol (MCP)?

A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), allowing AI models to access and interact with external data sources and tools.

Q: How do I install the GitHub Workflow Debugger MCP?

A: You can install it via Smithery using the command npx -y @smithery/cli install @Maxteabag/githubworkflowmcp --client claude, or manually by cloning the repository, installing dependencies, building the project, and linking the binary.

Q: What permissions are required to use this tool?

A: You need a GitHub Personal Access Token (PAT) with repo (full control of private repositories) and workflow (update GitHub Action workflows) permissions.

Q: How do I configure the tool with my GitHub token?

A: Set your GitHub Personal Access Token as an environment variable named GITHUB_PERSONAL_ACCESS_TOKEN.

Q: What tools are available in the GitHub Workflow Debugger MCP?

A: Available tools include get-failed-workflow-runs, get-workflow-run-jobs, get-workflow-file, update-workflow-file, and analyze-workflow-failure.

Q: Can you give an example of how to use this tool?

A: First, use get-failed-workflow-runs to fetch failed runs. Then, use analyze-workflow-failure to get suggestions. You can also view and update workflow files using corresponding tools.

Q: What is UBOS, and how does it relate to the GitHub Workflow Debugger MCP?

A: UBOS is a full-stack AI Agent Development Platform that allows you to orchestrate AI Agents and connect them with enterprise data. UBOS can enhance the GitHub Workflow Debugger MCP by automating fixes and creating custom AI Agents to improve the debugging process.

Q: How can UBOS improve workflow debugging?

A: UBOS enables orchestration of AI agents, connection with enterprise data, custom AI agent development, and multi-agent systems to automate and improve the debugging workflow.

Q: What kind of issues can the GitHub Workflow Debugger MCP identify?

A: The tool can identify common issues such as incorrect syntax, missing dependencies, permission errors, flaky tests, and performance bottlenecks in your GitHub Actions workflows.

Q: Can this tool automatically fix the identified issues?

A: Yes, using the update-workflow-file tool, the debugger can automatically update workflow files with suggested fixes.

Q: Is manual installation more complex than installing via Smithery?

A: Yes, manual installation involves more steps and requires familiarity with command-line tools and package management. Smithery provides a simpler, automated installation process.

Q: What if I encounter an issue during the installation or usage of the tool?

A: Consult the project’s documentation or repository for troubleshooting steps and support resources.