MCP = Mega Context Problem - Matt Carey

Integrating agents with complex APIs requires moving beyond naive tool-calling, which often exhausts context windows. By adopting the Model Context Protocol (MCP) and implementing "code mode," developers can enable agents to write and execute code against typed SDKs, significantly improving scalability and coverage. This approach relies on secure, isolated execution environments—such as Cloudflare’s WorkerD—to mitigate risks associated with running untrusted AI-generated code, including unauthorized access and resource exhaustion. As frameworks begin to integrate MCP natively, the industry is shifting toward programmatic tool calling. This evolution allows agents to generate and store reusable scripts for complex workflows, transforming how AI interacts with infrastructure and making large-scale API surfaces accessible without the overhead of manual tool management.