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mcp-github-issue-tracker

by Dipu HaiderUpdated May 4, 2026

Provides programmatic access to GitHub issue tracking, enabling listing, creating, updating, and closing issues in repositories. Developers integrate it with AI models to automate issue management during code reviews, bug triage, and sprint planning.

github
issues
api
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Overview

The mcp-github-issue-tracker MCP server connects AI models to GitHub repositories for direct issue management. It exposes tools to perform read, create, update, and delete operations on issues without leaving the AI context, supporting authentication via GitHub tokens.

Key Capabilities

  • list_issues: Retrieves issues from a repository with filters for state (open/closed), labels, assignee, and milestone.
  • create_issue: Adds a new issue specifying title, body, labels, assignees, and milestone.
  • get_issue: Fetches full details of a specific issue by number.
  • update_issue: Edits issue fields like title, body, state, labels, or assignees.
  • close_issue: Marks an issue as closed, optionally adding a comment.

Use Cases

  1. Bug Automation: Run create_issue to log bugs found during AI-powered code analysis in a repo.
  2. Sprint Review: Use list_issues filtered by milestone to generate reports on completed work.
  3. Triage Workflow: Call get_issue and update_issue to assign labels and reviewers during pull request checks.
  4. Cleanup: Invoke close_issue on verified fixes from CI/CD pipelines.

Who This Is For

Software developers, DevOps engineers, and project leads managing GitHub repos who need AI-assisted issue handling in development pipelines.