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    • A
      license
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      quality
      B
      maintenance
      Enables AI agents to create isolated Docker runtimes, execute commands, manage workspace files, drive a headed browser, and retrieve artifacts through eight semantic MCP tools, with progressive capability discovery and explicit sandbox lifecycle.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Empower any MCP-compatible AI Agent(MCP Client) with engineering-grade capabilities to understand, modify, run, and deliver real-world code repositories.
      212 PyPI
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to understand, run, test, diagnose, review, benchmark, and validate real local software projects through the Model Context Protocol. It provides workspace-confined safe execution, structured evidence instead of raw logs, and Git checkpoints with guarded rollback that never destroys user work.
      8 npm
      MIT

    TDQS

    A4.2/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct concern: file listing, status inspection, content reading, search, test execution, test output retrieval, patching, and diff viewing. The only related pair is run_tests/get_test_output, but their roles are clearly sequential rather than interchangeable.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern like list_files, read_file, search_code, run_tests, and apply_patch. The get_* variants are slightly different in style but still predictable and consistent with common Git-related naming.

    Tool Count5/5

    Eight tools is a well-scoped size for a repository coding assistant. Each tool covers a necessary operation without redundancy or bloat, and the set is small enough for an agent to navigate easily.

    Completeness4/5

    The toolset covers the core inspect-modify-test loop well: reading, searching, patching, diffing, and running tests. Missing commit/branch management tools are a minor gap for full repository lifecycle coverage, but agents can still complete most coding workflows.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues