github-issue-tracker-mcp
Connects MCP clients to GitHub repositories for issue management. Supports listing issues, creating new ones, updating details, adding comments, and closing issues via protocol calls. Developers and DevOps teams use it to automate repository maintenance and integrate AI for issue triage.
Overview
github-issue-tracker-mcp is an MCP server that exposes GitHub issue tracker functionality through the Model Context Protocol. It allows clients, including AI models, to perform read and write operations on issues in specified repositories without direct GitHub API authentication in the client.
Key Capabilities
- list_issues(repo_owner, repo_name): Fetches issues from a repository, filtered by state (open/closed), labels, or assignee.
- get_issue(repo_owner, repo_name, issue_number): Retrieves full details of a specific issue, including title, body, comments, and labels.
- create_issue(repo_owner, repo_name, title, body, labels): Creates a new issue with optional assignees, milestones, and labels.
- update_issue(repo_owner, repo_name, issue_number, title, body, state, labels): Modifies an issue's title, body, state (open/close), or labels.
- add_comment(repo_owner, repo_name, issue_number, body): Appends a comment to an issue.
These capabilities rely on GitHub tokens provided via MCP configuration.
Use Cases
- Automated Bug Filing: Parse error logs in a CI/CD pipeline and use create_issue to open bugs in the project repo with stack traces as body.
- Issue Triage Bot: Run list_issues daily to fetch unassigned open issues, then use update_issue to add labels and assignees based on keywords.
- AI-Powered Responses: Query get_issue, analyze content with an LLM, then add_comment with suggested fixes or questions.
- Stale Issue Cleanup: Use list_issues to identify inactive issues, then update_issue to close them with a standard message.
Who This Is For
Repository maintainers, DevOps engineers, and developers building GitHub integrations. AI application creators integrating issue management into workflows for code reviews or support systems.