A generic MCP proxy that filters which tools are exposed from a remote MCP server, reducing context window token usage by only loading the tools you actually need.
A lightweight proxy that allows users to filter MCP tools by whitelisting specific ones, preventing context window clutter. It sits between an MCP client and server to control tool visibility while transparently forwarding other protocol messages.
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.
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.
MCP proxy that bundles flat tool lists into hierarchical subcommand groups to reduce context token usage, supporting multi-server aggregation and auto-generated help from tool schemas.
Acts as a proxy for multiple MCP servers, reducing context window usage from 15,000+ tokens to ~500 tokens by dynamically loading servers on-demand and exposing only 3 tools instead of all tool definitions.