A universal MCP server that enables any MCP-compatible agent to use Anthropic's Claude Agent Skills with progressive disclosure, reducing context overhead while maximizing capability.
An MCP server that allows Claude Code to offload mechanical tasks such as summarization, classification, and drafting to a local LLM, reducing API costs while keeping Claude in control of complex reasoning and quality review.
An MCP server that automatically injects relevant skills, project memory, and routes complex tasks to specialist agents into AI coding tools like Claude, eliminating cold starts and prompt engineering.
A graph-based MCP server that discovers, resolves dependencies, and installs the minimal set of Claude Code components—including skills, agents, and commands—tailored to specific tasks.
An MCP server for discovering Claude Code skills, plugins, and MCP servers by searching 15,000+ resources from 17 registries, GitHub, and the web with zero setup.
An MCP server for Claude Code that catches vague prompts, applies triage and correction pattern learning, and provides semantic search, cross-service contracts, and scorecards to reduce wasted tokens.