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Alternatives to mcp-cli-tools

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      An MCP server that bridges CLI coding agents like Claude Code, Codex, opencode, and Antigravity into any MCP client, enabling synchronous and asynchronous task execution, follow-up input, and a structured code review tool.
      103 npm
      1
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      An MCP server that lets Claude Code consult stronger AI models (o3, Gemini 2.5 Pro, DeepSeek Reasoner) when you need deeper analysis on complex problems.
      1
      102 npm
      135
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      An MCP server that bridges Claude Code with Antigravity CLI using a Swarm Agent architecture to optimize local development workflows and minimize LLM token costs. Includes a web UI for monitoring agent workflows.
      24
      451 PyPI
      22
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that lets Claude Code call the Google Antigravity CLI (agy) headlessly for a second opinion from a different model family, or to have agy read project files on Claude's behalf so large files never enter Claude's context window.
      18 npm
      MIT

    TDQS

    B3.4/5.0

    Scored across 8 tools

    Disambiguation2/5

    Several tools overlap in functionality: run_antigravity and consult_model both query Antigravity, while run_codex overlaps with review_workspace and security_audit. The descriptions explicitly say to prefer other tools for new workflows, creating confusing boundaries.

    Naming Consistency3/5

    Most tools follow verb_noun (run_antigravity, consult_model, compare_models, review_workspace), but security_audit, adversarial_check, and fugu_orchestrate break the pattern with noun_noun, adjective_noun, and noun_verb structures. All are lowercase snake_case, so it remains readable.

    Tool Count5/5

    With 8 tools, the set is well-scoped for an AI CLI toolkit covering model queries, comparisons, reviews, audits, and orchestration. Each tool addresses a distinct workflow area, and the count is within the ideal range.

    Completeness4/5

    The toolkit covers core workflows: model consultation, comparison, adversarial checking, code review, security audit, and orchestration. Minor gaps exist, such as no tool for listing available models or directly executing code, but the primary surface is solid.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues