AI agents can now interact directly with cloud infrastructure APIs through a search-and-execute pattern using the Model Context Protocol (MCP). Rather than exposing hundreds of individual tools for each API endpoint, an MCP server exposes just two tools: one to search the API specification and one to execute sandboxed JavaScript code. This approach is demonstrated with Sevalla's MCP server, where an agent dynamically discovers endpoints via OpenAPI spec search and executes API calls inside an isolated V8 sandbox. The pattern reduces context overhead, simplifies maintenance, and enables safe, flexible infrastructure automation through natural language.
Table of contents
What We'll CoverAI Agents Are Becoming Part of the Development EnvironmentConnecting AI Agents to External SystemsThe Challenge of Large Cloud APIsA Simpler Pattern for API AccessWhy Sandboxed Code Execution Is ImportantPractical Example with SevallaWhat This Means for DevelopersThe Next Evolution of Infrastructure AutomationSort: