Create or update files in a GitHub repository with specified content, commit message, and branch. Manage file changes programmatically using the PyGithub MCP Server for efficient repository operations.
Manage Git repositories locally and remotely with operations including init, commit, sync, backup, and repository management for GitHub and Gitea platforms.
Retrieve the contents of a file or directory from a GitHub repository by specifying the owner, repository name, and path. Access specific branches for precise file operations.
Read, search, list, and backup files from Git repositories without modifying content. Supports local and remote repositories including GitHub and Gitea for secure file management operations.
Push multiple files to a GitHub repository in a single commit, enabling batch file management through the PyGithub MCP Server for efficient repository updates.
A Model Context Protocol server that enables enhanced file system operations including reading, writing, copying, moving files with streaming capabilities, directory management, file watching, and change tracking.
Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
A FastAPI-integrated MCP server that provides mathematical operations like addition and multiplication using Pandas for data manipulation. It serves as a comprehensive example for implementing different tool registration patterns and real-time communication via Server-Sent Events.