As developers, we're always looking for ways to build more efficient, scalable, and intelligent applications. For years, RESTful APIs have been our go-to for connecting services. Here are some ways you can integrate AI agents and MCP into your existing API infrastructure to make it smarter, more efficient, and easier to maintain.
In March 2023, OpenAI announced an easier integration to ChatGPT by using properly-formatted OpenAPI specification files with meticulously-written and detailed instructions in the same file. This announcement gained a lot of attention in developer communities. The business impact was having developers and documentation writers working on one gigantic spec file together, to provide ChatGPT the necessary context to understand which API to use, and how.
Skip ahead just a short while, and AI agents combined with the Model Context Protocol (MCP) are splitting this workload where MCP could contain the context and awareness, and your API team can focus on the API itself. These aren't just incremental improvements, either; the combination of Agentic AI and MCP represent a fundamental shift in how we connect and interact with data and services.
The shift to using AI Agents and MCP has the potential to be as big a change as the introduction of REST APIs was back in 2005. Imagine a world where integrations are more dynamic, context-aware, and require less manual coding. This isn't a di...
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