Skip to main content
Glama

Related Servers

Alternatives to skills-master-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      D
      maintenance
      Connects AI coding agents to the SkillFlow marketplace to search, discover, and retrieve detailed information about agent skills. It enables users to browse trending skills, categories, and publisher data directly through MCP-compatible environments.
      5
      41 npm
      1
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      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
      19 npm
      1
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to autonomously search, evaluate, and install skills from the skills.sh catalog.
      4
      13 npm
      ISC
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to search and retrieve over 89K skills on-demand at runtime, eliminating the need to manually install skills upfront.
      127
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      This MCP server enables AI agents to search, discover, and install skills from the SkillsMP marketplace, with support for keyword and semantic search, skill content retrieval, and installation to various coding agents.
      5
      83 npm
      3
      MIT

    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation4/5

    Most tools have distinct purposes: ai_search and search both handle searching but differ in approach (semantic vs keyword-based), while install_skill, read_skill, and remove_skill clearly manage skill lifecycle. The overlap between ai_search and search creates minor ambiguity, but their descriptions help differentiate them.

    Naming Consistency4/5

    Tools follow a consistent verb_noun pattern with snake_case throughout (ai_search, install_skill, read_skill, remove_skill, search). The only deviation is 'ai_search' versus 'search' where the prefix clarifies the semantic approach, maintaining overall readability.

    Tool Count5/5

    With 5 tools, this server is well-scoped for managing AI coding skills. It covers core operations: discovery (two search tools), installation, inspection, and removal. Each tool earns its place without bloat, fitting typical server scope expectations.

    Completeness4/5

    The toolset provides strong coverage for skill management: discover, preview, install, and remove. A minor gap exists in updating or modifying installed skills, but agents can work around this by removing and reinstalling. Core workflows are well-supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues