Roo Activity Logger

Roo Activity Logger is a Model Context Protocol (MCP) server designed to capture every significant interaction that an AI coding assistant performs. From executing terminal commands and generating code snippets to modifying files and making strategic decisions, the server records each event as a structured JSON entry. This persistent audit trail solves a common pain point for developers: the loss of context when switching tasks or revisiting older projects. By preserving a chronological history, developers can later search, analyze, and restore the exact state of their work, ensuring continuity and reducing the risk of regressions.

The server is fully compatible with popular MCP‑enabled assistants such as Claude Code, Cline, and Roo-Code. When integrated, it automatically intercepts key hooks—like —and writes a detailed log that includes a unique identifier, timestamp, activity type, and concise summary. The payload also carries structured details (e.g., file paths or command strings), the intention behind the action, contextual notes, and hierarchical links to parent or related activities. This rich metadata allows for nuanced queries: filter by activity type, severity level, date range, or keyword to pinpoint exactly where a particular change originated.

Key capabilities include:

• Multi‑format logging for commands, code generation, file operations, errors, decisions, and conversations.
• Hierarchical linking that preserves parent‑child relationships, enabling reconstruction of a task’s lineage.
• Customizable storage where developers can direct logs to different directories or date‑based buckets.
• Search and restore functions that let users retrieve past activities, re‑apply context, or audit changes without manually combing through code history.

In real‑world scenarios, Roo Activity Logger shines when teams iterate rapidly on large codebases. For example, a developer can pause mid‑refactor, later resume by querying logs to see the exact state of the file system and intent behind each change. Security teams can audit automated code modifications for compliance, while educators can track student interactions in AI‑assisted coding labs. The server’s JSON format also makes it easy to feed logs into external analytics pipelines, feeding insights into productivity or error patterns.

By embedding logging directly into the MCP workflow, Roo Activity Logger eliminates the need for external monitoring tools. It provides a seamless, low‑overhead mechanism that enriches AI assistants with traceability and recoverability—qualities essential for modern, collaborative software development.