The Model Context Protocol (MCP) has revolutionized how AI agents interact with external tools, yet it faces a challenge with context window limitations. Code Mode, a technique designed to optimize context usage, enables models to write and execute code against a typed SDK, effectively acting as a compact operational plan. This approach minimizes token consumption, allowing the new Cloudflare MCP server to access its extensive API with only two tools: search() and execute(), reducing input token usage by 99.9%. Previously, accessing the full Cloudflare API would have consumed over 1.17 million tokens, but with Code Mode, it remains around 1,000 tokens. The agent retrieves necessary API endpoint information and executes actions securely in a Dynamic Worker Loader. Developers can now utilize this efficient solution alongside an open-source Code Mode SDK for custom implementations, enhancing AI tool integration and progressive discovery for various services without compromising security or performance.
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