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Alternatives to ansible-know-mcp

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    Related Servers

    • A
      license
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      Combines semantic search with AST-based code exploration for AI agents, enabling natural language code search, file structure browsing, symbol inspection, and dependency analysis through the Model Context Protocol.
      30
      4
      MIT
    • A
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      quality
      D
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      A Model Context Protocol server that enables AI agents to access, search, and understand structured package documentation and source code from Git repositories. It automatically generates specialized tools to browse module overviews, components, and detailed documentation for technical libraries.
      1
      698 npm
      7
      MIT
    • A
      license
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      Integrates with the skills.sh ecosystem to allow AI coding agents to discover, install, and manage reusable instruction sets. It enables autonomous agents to extend their capabilities with structured skill discovery and full lifecycle management through the Model Context Protocol.
      6
      18 npm
      1
      Apache 2.0

    TDQS

    A4.2/5.0

    Scored across 22 tools

    Disambiguation5/5

    Every tool pairs a specific resource type (module, plugin, role, collection, skill, doc, cache) with a clear action (search, get, ensure, generate, package, list, clear), so an agent can tell them apart. The only close pairs—get_role_doc vs. get_standalone_role_doc and package_as_plugin vs. package_for_lola—are explicitly scoped to different role kinds or packaging targets.

    Naming Consistency5/5

    All tool names use snake_case and follow a predictable verb_noun pattern: search_* for discovery, get_* for retrieval, generate_* for creation, and package_* for distribution. Resource nouns are consistent, and there is no mixing of naming styles or vague verbs.

    Tool Count3/5

    22 tools falls in the 16–25 borderline range and feels somewhat heavy for a single MCP server. The count is mostly justified by the parallel module/plugin/role/collection matrix, but deprecated/niche tools like package_for_lola and clear_cache add surface area without being core to the workflow.

    Completeness4/5

    The tools cover the full Ansible knowledge loop: discover collections/roles/modules/plugins, retrieve documentation, install collections, generate skills, and package the results. Minor gaps exist—no skill deletion/update and no explicit standalone-role skill generator—but agents can work around them via regeneration and generate_role_skill.

    Maintenance

    ActivitySlowing
    ResponsivenessWithin a week