MCP CLI (www.philschmid.de)

The introduction of MCP CLI marks a significant advancement in how AI agents interact with multiple Model Context Protocol (MCP) servers by facilitating dynamic context discovery. As the ecosystem of MCP servers expands, developers have faced challenges with context window bloat due to the high token consumption associated with upfront loading of tool definitions. MCP CLI addresses this issue by allowing agents to request only the necessary information in real-time—dramatically reducing token usage from around 47,000 tokens for six servers to approximately 400 tokens, achieving a 99% reduction. This efficiency improvement enhances the effective context length for reasoning and code generation, enabling developers to leverage multiple MCP tools without incurring excessive overhead. Built using the Bun framework, MCP CLI features a lightweight command-line interface that supports both local and remote MCP servers, complete with functionalities such as glob-based searches and structured error messages. Its design is tailored specifically for AI coding agents like Gemini CLI and Claude Code, allowing them to operate more fluidly and cost-effectively. By implementing dynamic context discovery, MCP CLI transforms the way AI agents engage with a broad array of external resources, thereby streamlining interactions and reducing the burdens of static context loading. This innovation is poised to enhance productivity and lower API costs within the AI/ML community significantly.