skill-router-mcp
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Alternatives to skill-router-mcp
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- AlicenseNot gradedqualityBmaintenanceProvides a searchable routing layer for MCP tools, skills, and plugins, enabling natural-language discovery and invocation while reducing context overhead.95 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables 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
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to discover and retrieve the single most relevant skill from a centralized SKILL.md library via MCP, using a decision model to match tasks to skills on demand.128 npm4MIT
- AlicenseNot gradedqualityBmaintenanceEnables 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.762 npm7MIT
- AlicenseNot gradedqualityBmaintenanceEnables 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
- AlicenseAqualityCmaintenanceA 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 enginee3411Apache 2.0
TDQS
Scored across 5 tools
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.
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.
5 tools is well-scoped for a skill router: listing, fetching, section retrieval, matching, and re-indexing. Each tool earns its place without redundancy.
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.