We’ve been misusing the Model Context Protocol (MCP) by directly exposing its tools to large language models (LLMs). Instead, we’ve created a TypeScript API to improve interaction. This innovative approach allows agents to manage and utilize more complex tools efficiently, leveraging the extensive TypeScript knowledge embedded in LLMs’ training data. By enabling LLMs to write code that calls APIs, we minimize the inefficiencies associated with traditional tool-call methods, where outputs needed to cycle through the LLM’s neural network. MCP fundamentally standardizes tool accessibility and documentation for AI agents, allowing seamless connections and interactions even between unfamiliar agent and server combinations. Our enhanced Cloudflare Agents SDK now supports this TypeScript model, allowing developers to wrap MCP tools in a user-friendly structure. Additionally, the new Dynamic Worker Loader API facilitates rapid, secure code execution with isolates, significantly enhancing the sandboxing process while maintaining low costs. Interested developers can join the production beta now.
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