A local-first MCP server that gives AI coding agents runtime visibility and AI-managed debug logging. It replaces blind print() debugging by turning runtime execution into causal chains, allowing agents to instantly locate bugs by finding missing .success events in Python and TypeScript code. Single binary with MCP, CLI, and HTTP interfaces.
MCP server that automatically logs AI coding assistant activities such as command executions and code generation, saving them as JSON files for later search and analysis.
MCP server that provides structured audit logging for AI agent repair tasks via tools to start, record, end, query, and export event traces, with JSONL persistence and SDK integration.
A local MCP server that records completed tasks to daily JSONL files and promotes substantial work to a cumulative weekly Markdown worklog, providing persistent, searchable logs of AI-assisted productivity.
Local-first MCP server that provides project context, verification gates, and structured tools for coding agents to discover knowledge, run diagnostics, and execute allowlisted commands within a repository.