Show HN: MCP-compress-router – MCP Compressor (github.com)

A new tool called MCP-compress-router has been introduced to the AI/ML community, significantly optimizing the interaction with multiple Model Context Protocol (MCP) servers. By compressing all connected MCPs into a single router MCP, users can achieve up to a 99% reduction in token usage for requests sent to language models. Each MCP typically entails a substantial token overhead—around 26,000 tokens for just three servers, translating to an approximate cost of $0.9275 per coding session. In contrast, utilizing the MCP-compress-router can lower this token count to about 900 tokens, reducing costs to around $0.032175. The significance of this innovation lies in its potential for cost efficiency and simplicity. As developers increasingly rely on multiple tools and APIs in their workflows, minimizing token usage not only reduces expenses but also enhances performance and response times. The router operates with just two main functions, simplifying the integration process with coding agents that support stdio MCP servers. This streamlined approach accommodates developers using popular tools like GitHub Copilot and Codex, offering easy configuration, support for environment variables, and the ability to manage multiple servers effectively, thereby improving the overall developer experience in AI-driven coding environments.