github

Overview

The github MCP server enables AI assistants to work directly with GitHub repositories and resources inside AI-driven workflows. It provides structured access to code, issues, pull requests, and repository metadata so assistants can reason about projects, propose changes, and manage collaboration without switching between tools.

This server is ideal for development, code review, project planning, and repository exploration workflows that benefit from tight integration with GitHub.

Transport

stdio

Tools

• add_comment_to_pending_review
• add_issue_comment
• assign_copilot_to_issue
• create_branch
• create_or_update_file
• create_pull_request
• create_repository
• delete_file
• fork_repository
• get_commit
• get_file_contents
• get_label
• get_latest_release
• get_me
• get_release_by_tag
• get_tag
• get_team_members
• get_teams
• issue_read
• issue_write
• list_branches
• list_commits
• list_issue_types
• list_issues
• list_pull_requests
• list_releases
• list_tags
• merge_pull_request
• pull_request_read
• pull_request_review_write
• push_files
• request_copilot_review
• search_code
• search_issues
• search_pull_requests
• search_repositories
• search_users
• sub_issue_write
• update_pull_request
• update_pull_request_branch

Key Capabilities

• Code exploration and search — Read and search source code across one or more repositories.
• Issue and pull request management — Create, update, and review issues and PRs programmatically.
• Repository insight — Access metadata, commit history, and project structure.
• Cross-repository discovery — Search GitHub’s broader codebase to find examples or references.
• Unified AI interface — Interact with GitHub APIs through a consistent, AI-friendly abstraction.

How It Works

Check out our GitHub MCP server guide.

The github MCP server runs as an MCP service that connects to GitHub using configured credentials and permissions. AI clients communicate with the server over the MCP protocol, requesting repository information or actions as part of larger reasoning workflows.

The server handles authentication, API interaction, and response normalization, returning structured results that AI assistants can reason over directly. This abstraction removes the need for clients to manage GitHub-specific API details while ensuring that all actions respect the permissions of the authenticated user or token.

By making GitHub resources appear as native capabilities inside MCP-compatible assistants, the server enables seamless workflows such as repository exploration, change analysis, and collaboration support — all driven through natural language and AI reasoning.