Gateway

The MCP Gateway addresses the challenge of managing excessive tool descriptions when connecting AI clients to multiple MCP servers. By acting as both an MCP client to upstream servers and an MCP server to downstream AI clients, it indexes all available tools into a unified catalog. Instead of dumping hundreds of tool schemas, the gateway provides a specialized tool search interface, exposing only the tools relevant to the client's query. This approach significantly reduces context overflow and cognitive overload for Large Language Models (LLMs), leading to more efficient tool usage and a ~40% reduction in initial token consumption.

Key Features

Use Cases