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    Related Servers

    • A
      license
      B
      quality
      C
      maintenance
      A coding agent toolkit that transforms LLMs into coding assistants capable of working directly on your codebase with semantic code retrieval and editing tools, providing IDE-like capabilities without requiring API subscriptions.
      33
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides semantic code intelligence tools (search, structural views) and a workspace TUI interface for LLM agents to efficiently navigate codebases, manage context, and maintain architectural patterns across Python, Java, C++, and Perl projects.
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides IDE-like coding capabilities for AI agents via MCP, enabling semantic code retrieval, symbol-level editing, refactoring, and navigation across many programming languages.
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      A coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases using symbol-level operations instead of basic file reading and string replacements.
      19
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides Cursor-like code intelligence using tools like ripgrep, ctags, and tree-sitter to help LLMs explore and understand entire codebases. It implements a structured, phase-gated workflow to ensure high-confidence code modifications and eliminate hallucinations.
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    TDQS

    A3.8/5.0

    Scored across 29 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between search tools (find_symbol, find_referencing_symbols, search_for_pattern) and file operations (read_file vs. find_file vs. list_dir). The descriptions help clarify differences, but an agent might occasionally misselect between similar search or file access tools.

    Naming Consistency4/5

    The naming follows a consistent verb_noun pattern (e.g., activate_project, create_text_file, execute_shell_command) with only minor deviations like initial_instructions (adjective_noun) and think_about_* tools (verb_phrase). Overall, the pattern is predictable and readable.

    Tool Count3/5

    With 29 tools, the count feels heavy for a code assistant server, bordering on overwhelming. While many tools are specialized (e.g., multiple think_about_* tools), the high number could lead to confusion or inefficiency in tool selection.

    Completeness5/5

    The toolset provides comprehensive coverage for code editing and project management, including CRUD operations for files and symbols, search capabilities, memory management, and workflow guidance (e.g., onboarding, thinking tools). No obvious gaps are present for its intended domain.

    Maintenance

    ActivityActive
    ResponsivenessResponsive