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by github • Uncategorized
Connects AI tools directly to GitHub to manage repositories, issues, PRs, workflows, and code analysis via natural language.
Browse and query code repositories and understand project structure.
Automate issue and pull request management including triage and code review.
Monitor CI/CD workflows, analyze build failures, and manage releases.
The GitHub MCP Server enables AI agents, assistants, and chatbots to interact with GitHub repositories and code files, automate issue and pull request management, analyze CI/CD workflows, and enhance team collaboration through natural language commands. It supports both remote and local deployment options, integrates with various MCP hosts including VS Code, and offers configuration flexibility for GitHub Enterprise environments. This server streamlines development workflows by providing AI-driven insights and automation directly within GitHub's platform context.
Get details about specific GitHub Actions resources. Use this tool to get details about individual workflows, workflow runs, jobs, and artifacts by their unique IDs.
Tools for listing GitHub Actions resources. Use this tool to list workflows in a repository, or list workflow runs, jobs, and artifacts for a specific workflow or workflow run.
Trigger GitHub Actions workflow operations, including running, re-running, cancelling workflow runs, and deleting workflow run logs.
Add review comment to the requester's latest pending pull request review. A pending review needs to already exist to call this (check with the user if not sure).
Add a comment to a specific issue in a GitHub repository. Use this tool to add comments to pull requests as well (in this case pass pull request number as issue_number), but only if user is not asking specifically to add review comments.
Assign GitHub Coding Agent to multiple tasks in a GitHub repository.
Create an issue for a problem and then generate a pull request to fix it
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