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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables local-first observability for MCP agent workflows by recording tool calls, prompts, latency, and token usage in a local SQLite database, and provides tools for inspecting, comparing, exporting, and generating dashboards from traces.
      13
      37 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables recording and analyzing AI agent execution traces, including event logging, metric computation, loop detection, and JSON export for debugging agent behavior.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.
      9
      1,325 npm
      9
      MIT
    • F
      license
      Not graded
      quality
      C
      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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