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Developing MCP servers against the APIs you depend on can feel risky, especially when those servers interact with real-world data in production services. When integrating AI into the enterprise, you're often better off starting in a sandbox, but not all 3rd-party APIs offer sandboxes, let alone MCP-compatible ones. No problem: OpenAPI, Microcks, and Bruno are here to help.
At Naftiko, we've been delivering HTTP and MCP sandboxes for common 3rd-party APIs like GitHub, Jira, Notion, and Figma. Our approach uses OpenAPI specifications published to GitHub, open-source Microcks to deliver mock REST APIs and MCP servers, and Bruno as an HTTP client to explore the sandbox. We'll share how we design OpenAPI specs with use-case-driven, business-aligned examples that can be easily forked and mocked on-premise using Microcks, providing a safer development approach for anyone building with MCP and integrating it into LLMs, copilots, and agentic automation.
Join us for a hands-on, practical journey through how OpenAPI, Microcks, GitHub, and Bruno can help you reduce the risk of AI integration with 3rd-party, and internal APIs.
