Roo Activity Logger
Roo Codeにアクティビティを記録させるmcp-server
What is Roo Activity Logger?
What is Roo Activity Logger? Roo Activity Logger is a Model Context Protocol (MCP) server that automatically records development activities performed by Roo, such as command execution, code generation, and file operations, allowing for later search and analysis. How to use Roo Activity Logger? To use Roo Activity Logger, clone the repository, install dependencies, and run the server using Node.js. You can log activities by calling the provided MCP tools with the required parameters. Key features of Roo Activity Logger? Activity Logging: Records various types of activities including command execution, code generation, file operations, error encounters, decisions made, and conversations. Log Information: Captures detailed information for each activity, including unique ID, timestamp, activity type, log level, summary, and context. Storage: Saves logs in date-based JSON files. Search: Allows searching logs by type, level, date, and text. Custom Directory: Enables specifying a save location for each activity. Use cases of Roo Activity Logger? Automatically logging development activities for better tracking. Analyzing errors and decisions made during the development process. Generating reports based on logged activities for project management. FAQ from Roo Activity Logger? Can Roo Activity Logger log all types of activities? Yes! It can log command executions, code generations, file operations, and more. Is Roo Activity Logger free to use? Yes! It is open-source and free to use for everyone. How can I customize the log storage? You can specify a custom directory for each activity log when calling the logging tools.
As an MCP (Model Context Protocol) server, Roo Activity Logger enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Roo Activity Logger
To use Roo Activity Logger, clone the repository, install dependencies, and run the server using Node.js. You can log activities by calling the provided MCP tools with the required parameters. Key features of Roo Activity Logger? Activity Logging: Records various types of activities including command execution, code generation, file operations, error encounters, decisions made, and conversations. Log Information: Captures detailed information for each activity, including unique ID, timestamp, activity type, log level, summary, and context. Storage: Saves logs in date-based JSON files. Search: Allows searching logs by type, level, date, and text. Custom Directory: Enables specifying a save location for each activity. Use cases of Roo Activity Logger? Automatically logging development activities for better tracking. Analyzing errors and decisions made during the development process. Generating reports based on logged activities for project management. FAQ from Roo Activity Logger? Can Roo Activity Logger log all types of activities? Yes! It can log command executions, code generations, file operations, and more. Is Roo Activity Logger free to use? Yes! It is open-source and free to use for everyone. How can I customize the log storage? You can specify a custom directory for each activity log when calling the logging tools.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Roo Activity Logger can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Roo Activity Logger provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.