Karada.ai is a platform for exposing existing APIs as tools that AI assistants and agents can call through the Model Context Protocol (MCP). It compiles OpenAPI 3.0, OpenAPI 3.1, and Swagger specifications into native Go MCP servers using Streamable HTTP, with the site claiming support for more than 10,000 concurrent streams and 0.42 ms p99 execution. The platform includes a control plane for testing tool executions, inspecting real-time SSE streams, managing API credentials, and monitoring deployed Go servers. Its enhanced gateway presents a single meta-tool to the AI client, while discovering and executing the underlying tools server-side; Karada.ai says this can reduce the client context used for 40 or more raw schemas by 95%. A unified gateway can place internal tools and marketplace MCP servers behind one bearer-token endpoint, with separate environments and encrypted per-tool credential vaults. The plugin pipeline supports token-bucket rate limiting, semantic caching, OAuth 2.0 PKCE, and OpenTelemetry without backend code changes. Karada.ai also supports webhook- or URL-based specification updates, automatically recompiling and hot-reloading changed endpoints; the page gives 84 ms as an example for a zero-downtime update. The service is aimed at teams building production agent infrastructure, and the page presents food delivery, flight booking, and music tools as example integrations.
