Routes SKILL.md libraries to any MCP client, enabling task matching and skill loading with embedding-based scoring, keyword fallback, and context-window discipline.
Provides a single MCP endpoint that dynamically discovers, routes, policy-checks, and executes hundreds of MCP tools from any agent, with optional LLM-based routing.
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.
Provides a semantic search interface that enables discovery and routing across over 1,000 local MCP tools using natural language queries. It leverages hybrid search and embeddings to accurately match user intent with tool names and descriptions.