- Introduced a new `onSyncbackCommand` option in `McpStream` to handle syncback requests.
- Implemented the `handle_mcp_syncback` function in the API to process syncback requests, including validation and logging.
- Updated the `run_live_syncback` function to return statistics on added and removed files during the syncback process.
- Enhanced the MCP tools list to include the new syncback tool, with corresponding documentation added.
These changes aim to facilitate a complete syncback of the Roblox Studio state to the filesystem, improving project management capabilities.
- Introduced a logging system using `tracing` and related crates to improve log management and output formatting.
- Updated `.gitignore` to include the `.atlas/` directory, ensuring that log files and other generated content are not tracked by Git.
- Enhanced project templates to include the new `.gitignore` settings for Atlas in various project types.
These changes aim to improve logging capabilities and maintain a cleaner repository by ignoring unnecessary files.
- Introduced new MCP tools for executing Luau code, inserting models, and retrieving console output, enhancing the plugin's capabilities for user interaction.
- Implemented a logging system to capture console output and provide detailed feedback during code execution and play mode operations.
- Updated the MCP stream to handle passthrough commands, allowing for better integration of tool commands and improved error handling.
- Enhanced the TODO list to reflect new tasks related to documentation for the added MCP tools and logging features.
These changes aim to improve the overall functionality and user experience of the MCP integration, particularly in script execution and model management.
- Introduced a new `get_script` command to allow agents to read script source code directly from Roblox Studio, enhancing conflict resolution during sync operations.
- Updated the MCP stream handling to support the new command, including error handling for missing or invalid parameters.
- Enhanced the App component to manage the `get_script` command and its response, ensuring proper integration with the existing MCP functionality.
- Updated the TODO list to reflect the addition of the `get_script` command and its associated documentation requirements.
These changes aim to improve the overall functionality and user experience of the MCP integration, particularly in script management.
- Updated the TODO list to include a task for ensuring well-formed MCP route documentation, enhancing agent usability.
- Modified the MCP stream handling to support additional parameters for sync commands, including mode and overrides for better control during sync operations.
- Introduced a new function to enrich sync changes with filesystem paths, improving traceability of changes.
- Updated API documentation to reflect new sync modes and override capabilities, providing clearer guidance for users.
These changes aim to improve the overall functionality and user experience of the MCP integration and sync process.
- Added place ID validation in the MCP stream connection to ensure only whitelisted IDs are accepted, improving security and control over connections.
- Updated the PluginConfig structure to include an optional place ID field, allowing for better configuration management.
- Refined the TODO list to include new tasks related to hash-based comparisons and terminal command execution, enhancing project tracking.
These changes aim to strengthen the MCP integration and improve the overall functionality of the plugin.
- Added a new section in the README to document the integration of MCP (Model Context Protocol) for AI agents, detailing how to set up and use the `atlas_sync` tool.
- Introduced `McpStream` to manage WebSocket connections for real-time sync commands between the plugin and the MCP server.
- Enhanced the `App` component to initialize and manage the MCP stream, including handling sync commands and user confirmations.
- Updated the API to support WebSocket upgrades for the MCP stream, allowing for efficient communication with connected plugins.
- Improved the handling of sync commands, ensuring proper responses based on the current connection state and user selections.
These changes aim to facilitate programmatic syncs to Roblox Studio, improving the workflow for teams using AI agents.
