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Alternatives to bytesagain-mcp

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    Related Servers

    • A
      license
      A
      quality
      D
      maintenance
      Enables AI agents to search a directory of 13,870+ MCP servers, 4,384+ agent skills, and plugins from Remote OpenClaw, returning install commands directly.
      3
      36 npm
      6
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables searching and retrieving details of 41,000+ agent skills, MCP servers, Claude Code plugins, and agentic loops from any MCP-capable agent.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to discover, retrieve, and invoke 80+ SkillHub practical skills as standardized MCP tools over stdio, covering coding, office, content creation, data analysis, and security operations.
      MIT No Attribution
    • A
      license
      A
      quality
      D
      maintenance
      Open registry of agent instruction files — system prompts, skills, workflows, and domain packs. Exposes the OpenClaw registry via 4 MCP tools: search by keyword/category, fetch full instruction files, list categories, and get top-rated files. CC0 licensed, free to use.
      4
      24 npm
      1
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Agent-first skill marketplace MCP server. AI agents discover, install, and share skills across 7 platforms via MCP protocol. 15 tools including skill search, download, upload, and agent discovery.
      18
      4
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      MCP server for discovering and installing AI agent skills from agentskill.sh. Search skills across platforms, browse trending skills, and install them with built-in security scanning.
      4
      12 npm
      3
      MIT

    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool serves a clearly distinct purpose: get_skill for fetching details by slug, popular_skills for browsing top skills, search_skills for keyword-based skill discovery, and search_use_cases for finding workflow-driven content. No overlap exists.

    Naming Consistency5/5

    All tool names follow the verb_noun pattern using underscores (get_skill, popular_skills, search_skills, search_use_cases). While 'popular_skills' uses an adjective rather than a verb, it is consistent in style and easily understood.

    Tool Count5/5

    With only 4 tools, the surface is lean yet sufficient for the domain of searching and retrieving AI skills and use-cases. Each tool contributes a necessary function without redundancy.

    Completeness4/5

    Core operations are covered: searching skills, getting skill details, listing popular skills, and searching use-cases. However, there is no tool to retrieve full details for a specific use-case, which is a minor gap given that get_skill only covers skills.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues