github-remote

Overview

The github-remote MCP server is a hosted Model Context Protocol (MCP) server that allows AI assistants to interact with GitHub repositories and resources without running a local MCP process. It provides secure, permission-aware access to GitHub code, issues, pull requests, and repository metadata through a remote MCP endpoint, making GitHub context easily available to cloud-based or lightweight AI clients.

This server is well suited for environments where local setup is undesirable, such as browser-based assistants, hosted IDEs, or centralized AI platforms.

Transport

streamable-http

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

• Remote GitHub access — Use GitHub features without running a local MCP server.
• Repository exploration — Browse files, commits, and project structure programmatically.
• Collaboration workflows — Create and manage issues and pull requests from AI-driven interactions.
• Permission-aware operations — Respect GitHub authentication scopes and repository access rules.
• Cloud-friendly integration — Ideal for hosted AI assistants and distributed environments.

How It Works

The github-remote MCP server is hosted as a managed MCP endpoint that AI clients connect to over standard MCP transports. Authentication is handled through GitHub’s authorization mechanisms, ensuring that all access and actions reflect the permissions of the authenticated user or integration.

Once connected, AI assistants can request repository context or perform collaboration actions as part of their reasoning workflows. The server mediates all communication with GitHub, handling API interaction, authentication, and response normalization before returning structured results over the MCP protocol.

By moving GitHub integration into a remote MCP service, this design eliminates local setup requirements while still allowing GitHub to function as a first-class capability inside AI workflows — enabling code understanding, project management, and collaboration wherever the assistant runs.