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Alternatives to Iris

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    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that lets AI agents debug Python code by running scripts, setting breakpoints, stepping through execution, inspecting live variable values, and editing or reverting files to verify fixes. It relies only on Python's standard sys.settrace, requiring no debugpy, DAP, pdb, or PTY.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to perform interactive Python debugging with breakpoints, step execution, and variable inspection using the Debug Adapter Protocol (DAP) through an MCP server interface.
      8
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables coding agents to use a real debugger (Python via debugpy) for launching, attaching, setting breakpoints, stepping through code, inspecting stack frames, and evaluating expressions through MCP tools.
      27
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Exposes VS Code's Debug Adapter Protocol as MCP tools, enabling AI coding agents to set breakpoints, step through code, inspect variables, and read exceptions in a real debug session.
      GPL 3.0
    • 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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