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Alternatives to skill-router-mcp

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides a searchable routing layer for MCP tools, skills, and plugins, enabling natural-language discovery and invocation while reducing context overhead.
      58 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables routing of natural-language tasks to the best-matching skill in a local pool of SKILL.md files, using a two-stage bi-encoder retrieval plus pointwise reranking pipeline that runs entirely on your machine. Exposes tools for searching skills, fetching a full skill record, triggering incremental or forced reindexing, and inspecting index statistics over a loopback-hosted MCP endpoint.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to discover, search, and load agent skills from many sources, including other agents' skill directories, Claude Code plugin marketplaces, and remote git repositories, with no copying or syncing required.
      652 npm
      6
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables centralized, versioned management and distribution of AI agent skills through a horizontally scalable MCP server, allowing agents to dynamically discover, search, and retrieve skills over HTTP/SSE.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee
      3
      407
      Apache 2.0

    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing skills, fetching full skill content, fetching sections, matching skills to tasks, and re-indexing. No overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (get_skill, get_skill_section, list_skills, match_skill, rescan_skills), making them predictable.

    Tool Count5/5

    5 tools is well-scoped for a skill router: listing, fetching, section retrieval, matching, and re-indexing. Each tool earns its place without redundancy.

    Completeness5/5

    Covers all essential operations for skill management: discovery (list_skills), retrieval (get_skill, get_skill_section), intelligent selection (match_skill), and maintenance (rescan_skills). No obvious gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues