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    • F
      license
      Not graded
      quality
      D
      maintenance
      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.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP clients such as Claude Code, Codex, and Cursor to debug failing traces, sessions, and exceptions, inspect route decisions, prompts, datasets, and metrics, and control token overhead via compact output, file dumps, and selective tool loading. It supports local stdio or HTTP deployment with optional read-only mode for safer observability workflows.
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    • A
      license
      A
      quality
      B
      maintenance
      Records your terminal sessions per command (PTY + OSC 133) into local SQLite, so AI agents can search, retrieve, and diff what commands actually printed. Secret redaction is applied by default to everything served over MCP.
      4
      7
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Local-first dashboard + MCP server that parses Claude Code and Codex JSONL files into a SQLite cost / token tracker. Per-MCP and per-tool breakdown, session drill-down, dedup by request_id; never talks to vendor APIs
      5
      104 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      AI-native developer observability MCP (Model Context Protocol) server that gives AI agents full-stack visibility into your development environment — browser, terminal, and processes — all in one unified interface.
      9 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and developers to query traces, sessions, exceptions, prompts, datasets, annotation queues, scores, and metrics for local debugging and observability. Runs locally over stdio or HTTP with selective tool-group loading, read-only mode, and compact or file-dump output to control token usage.
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