Intelligent MCP proxy server that reduces context bloat by serving only the tools your AI actually needs through semantic search and a fixed two-tool surface.
An MCP proxy that embeds tool definitions and returns only the top-k semantically relevant tools per query, reducing context usage and routing calls to upstream MCP servers.
SkillMesh is a retrieval router for MCP/LLM tool catalogs. It selects top-K relevant expert cards instead of loading every tool, reducing prompt size, by improving tool selection, and lowering token cost. Supports Claude MCP, Codex skills, and OpenAI-style function schemas.
Semantic search engine for MCP tools that indexes thousands of tool schemas and returns only the relevant ones to AI agents, reducing token usage and improving tool discovery.
A smart router that helps users discover the most relevant tools from an MCP catalog using natural language queries and AI-driven reranking. It utilizes hybrid search and intent analysis to select the best tool for a given task and explains the reasoning behind each choice.