MCP Server

Are you looking at all the new AI tools and wondering how you can connect them to your powerful, battle-tested APIs? You’re in the right place! In this walkthrough, we’ll enhance an existing Salesforce System API by implementing the Dual-Exposure Pattern. This is a fancy way of saying we’ll make your API “AI-ready” by adding a new, smart entry point for AI agents without breaking your existing RESTful interface. We will expose three core operations—create a case, get case details, and update a case—as discoverable AI tools, all from the comfort of Anypoint Code Builder. ...

Imagine a world where your AI applications can effortlessly connect to and use any tool or data source… without needing a deep dive into complex, custom API documentation every single time. Right now, connecting Large Language Models (LLMs) to the tools they need often looks like a tangled web of custom, brittle integrations. 🕸️ Every new tool requires another piece of unique code, creating a bottleneck that’s complex and prone to errors. ...

Hello there Muley! 👋 I’m so excited to bring you the latest on expanding your integration capabilities! I’ve got some fantastic news and insights to share about implementing an MCP (Model Context Protocol) Server with MuleSoft. This is a game-changer for connecting my existing APIs to the world of AI agents! 🚀 What is an MCP Server and Why it Matters for MuleSoft? You might be wondering, what exactly is an MCP Server? 🤔 Simply put, it’s a way for AI agents to discover and interact with various tools and resources. An MCP service acts as a bridge, allowing AI models to understand and utilize external capabilities, effectively extending their reach beyond their core functions. You can read more about unlocking AI’s potential with MCP in this article: Unlocking AI’s Potential with MCP. ...