MuleSoft is an enterprise integration platform company known for its API-centric connectivity capabilities and its low-code/no-code API lifecycle management services. The company is now extending its core platform and tools to offer an increasing number of agentic AI-facing technologies. Shari Lava, senior director for AI and automation at analyst house IDC said, “MuleSoft now has features to help organizations control which APIs are made available to agents in the Salesforce ecosystem, although that capability is of course narrowed to Salesforce-specific software implementations. In addition, MuleSoft like many integration vendors has been quick to add MCP support and works with Google’s A2A protocol (an agent-to-agent communications layer), demonstrating a responsive focus on solving barriers to AI adoption in the hopes of getting more customers agent-ready.” MuleSoft has now provided support for Model Context Protocol in Beta. A new but already widely lauded technology standard, MCP is an open protocol that enables integration between large language model applications and external data, services and tools. It enables language model and agent-based applications to communicate with each other in a consistent form. With all the focus on agentic connections, MCP provides ways for LLMs to get access to the live data flowing through external systems and their executing actions via a standardized protocol layer. MuleSoft says that because LLMs need access to the API specifications, they must be annotated with metadata that the LLMs can reason with. In other words, the freedom to build custom-aligned API technologies can actually cause incongruent complexity, so MuleSoft MCP Support (Beta) addresses these challenges.