A smart MCP proxy server that lazily loads relevant MCP tool servers based on project context, keeping AI tool counts within recommended limits. It enables agents to dynamically activate, deactivate, and discover MCP servers to optimize context usage.
A proxy server that wraps existing MCP servers to significantly reduce token consumption by compressing tool descriptions into a two-step interface. It enables users to integrate extensive toolsets without exceeding context limits or incurring high API costs.
A discovery and routing layer for MCP servers that loads tool definitions on demand, reducing token usage by keeping servers out of the context window until needed.
Reduces LLM context window overhead by proxying multiple MCP servers through a few efficient dispatch tools instead of registering hundreds of individual tool schemas. It supports multi-account routing and tool discovery for both CLI-based and persistent MCP server configurations.
